Deck 9: Modeling Data

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Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 1998.</strong> A) 59.9% B) 69.3% C) 47.2% <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 1998.

A) 59.9%
B) 69.3%
C) 47.2%
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Question
If the prediction of the output value that you make based on the model is not possible or not reasonable __________ __________ occurred.
Question
When you estimate an output value for an input value that is within the data input values by using the model you are doing __________.
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2017 which are you doing?</strong> A) interpolation B) extrapolation <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2017 which are you doing?

A) interpolation
B) extrapolation
Question
Given the data set choose its scatterplot. Are the data approximately linear? <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px>

A) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> linear
B) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> not linear
C) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> linear
D) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> not linear
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the slope of the model and what does it mean in terms of the problem?</strong> A) 2.33. Every year seat belt use goes down 2.33. B) 2.33. Every year seat belt use goes down 2.33% C) 2.33. Every year seat belt use goes up 2.33% D) 64.60. Seat belt use started at 64.60% <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the slope of the model and what does it mean in terms of the problem?

A) 2.33. Every year seat belt use goes down 2.33.
B) 2.33. Every year seat belt use goes down 2.33%
C) 2.33. Every year seat belt use goes up 2.33%
D) 64.60. Seat belt use started at 64.60%
Question
Decide which line fits the data best.

A) <strong>Decide which line fits the data best.</strong> A)   B)   <div style=padding-top: 35px>
B) <strong>Decide which line fits the data best.</strong> A)   B)   <div style=padding-top: 35px>
Question
Given the data set choose its scatterplot. Are the data approximately linear? <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px>

A) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> linear
B) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> not linear
C) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> linear
D) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear <div style=padding-top: 35px> not linear
Question
The __________ for a linear data set is the equation of the line which is the best fit for the data.
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2006 which are you doing?</strong> A) interpolation B) extrapolation <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2006 which are you doing?

A) interpolation
B) extrapolation
Question
Decide which line fits the data best.

A) <strong>Decide which line fits the data best.</strong> A)   B)   <div style=padding-top: 35px>
B) <strong>Decide which line fits the data best.</strong> A)   B)   <div style=padding-top: 35px>
Question
When you estimate an output value for an input value that is outside the data input values by using the model you are doing __________.
Question
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. Use the model to predict the percentage participation in 2020. Is this interpolation or extrapolation?</strong> A) 74.69% interpolation B) 74.69% extrapolation C) 39.05% interpolation D) 39.05% extrapolation <div style=padding-top: 35px> where t is years since 1996. Use the model to predict the percentage participation in 2020. Is this interpolation or extrapolation?

A) 74.69% interpolation
B) 74.69% extrapolation
C) 39.05% interpolation
D) 39.05% extrapolation
Question
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. Use the model to predict the percentage participation in 2000. Is this interpolation or extrapolation?</strong> A) 52.65% interpolation B) 52.65% extrapolation C) 58.09% interpolation D) 58.09% extrapolation <div style=padding-top: 35px> where t is years since 1996. Use the model to predict the percentage participation in 2000. Is this interpolation or extrapolation?

A) 52.65% interpolation
B) 52.65% extrapolation
C) 58.09% interpolation
D) 58.09% extrapolation
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2017.</strong> A) 10.4% B) 100% C) 104.2% <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2017.

A) 10.4%
B) 100%
C) 104.2%
Question
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 <div style=padding-top: 35px> where t is years since 1996. What is the vertical intercept in the model? What does it mean?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 <div style=padding-top: 35px> participation started at 55.37% in 1996
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 <div style=padding-top: 35px> participation goes up 55.37% each year since 1996
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 <div style=padding-top: 35px> participation will be zero in 2081
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 <div style=padding-top: 35px> participation will be zero in 2077
Question
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation <div style=padding-top: 35px> where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation <div style=padding-top: 35px> participation started at 55.37% in 1996. not extrapolation
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation <div style=padding-top: 35px> participation goes up 55.37% each year since 1996. not extrapolation.
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation <div style=padding-top: 35px> participation will be zero in 2081. extrapolation
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation <div style=padding-top: 35px> participation will be zero in 2077. extrapolation
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2005.</strong> A) 75% B) 76.3% C) 47.4% <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2005.

A) 75%
B) 76.3%
C) 47.4%
Question
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 <div style=padding-top: 35px> where t is years since 1996. What is the slope in the model? What does it mean?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 <div style=padding-top: 35px> participation started at 68% in 1996
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 <div style=padding-top: 35px> participation goes up 68% each year since 1996
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 <div style=padding-top: 35px> participation goes up 0.68% each year since 1996
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 <div style=padding-top: 35px> participation goes down 0.68% each year since 1996
Question
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. <div style=padding-top: 35px> where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?

A) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. <div style=padding-top: 35px> . In the year 1994 seat belt use was 64.60.
B) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. <div style=padding-top: 35px> . In the year 2000 seat belt use was 64.60.
C) 2.33. Every year seat belt use goes up 2.33%
D) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. <div style=padding-top: 35px> . In the year 2000 seat belt use was 64.60%.
Question
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. What is the horizontal intercept of this model? Round to one decimal place. What does it mean for this application?<div style=padding-top: 35px> where t is years since 1980. What is the horizontal intercept of this model? Round to one decimal place. What does it mean for this application?
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither? <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px>

A) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> linear
B) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> parabolic
C) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> neither
D) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> parabolic
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?  <div style=padding-top: 35px>
Question
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who were overweight in 2000.<div style=padding-top: 35px> where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who were overweight in 2000.
Question
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the vertical intercept of the model and explain its value in terms of the problem.<div style=padding-top: 35px> . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the vertical intercept of the model and explain its value in terms of the problem.
Question
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the horizontal intercept? Explain its value in terms of the problem if any.<div style=padding-top: 35px> . What is the horizontal intercept? Explain its value in terms of the problem if any.
Question
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . Use the model to estimate the number of participants in SNAP in 2015. Is this interpolation or extrapolation?<div style=padding-top: 35px> . Use the model to estimate the number of participants in SNAP in 2015. Is this interpolation or extrapolation?
Question
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the vertical intercept? Explain its value in terms of the problem.<div style=padding-top: 35px> . What is the vertical intercept? Explain its value in terms of the problem.
Question
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . Use the model to estimate the number of participants in SNAP in 2003. Is this interpolation or extrapolation?<div style=padding-top: 35px> . Use the model to estimate the number of participants in SNAP in 2003. Is this interpolation or extrapolation?
Question
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the slope? Explain its value in terms of the problem.<div style=padding-top: 35px> . What is the slope? Explain its value in terms of the problem.
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?  <div style=padding-top: 35px>
Question
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the horizontal intercept of the model and explain its value in terms of the problem. Is this reasonable?<div style=padding-top: 35px> . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the horizontal intercept of the model and explain its value in terms of the problem. Is this reasonable?
Question
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2020. Is this answer reasonable?<div style=padding-top: 35px> . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2020. Is this answer reasonable?
Question
The population of the District of Columbia is given in the following table.
The population of the District of Columbia is given in the following table.   Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.<div style=padding-top: 35px> Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.
Question
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. What is the vertical intercept of this model? What does it mean for this application?<div style=padding-top: 35px> where t is years since 1980. What is the vertical intercept of this model? What does it mean for this application?
Question
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who will be overweight in 2020. Is this estimate reasonable?<div style=padding-top: 35px> where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who will be overweight in 2020. Is this estimate reasonable?
Question
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2010. Is this answer reasonable?<div style=padding-top: 35px> . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2010. Is this answer reasonable?
Question
The population of Florida is given in the following table.
The population of Florida is given in the following table.   Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.<div style=padding-top: 35px> Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?  <div style=padding-top: 35px>
Question
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the slope of the model and explain the value of the slope in terms of the problem. Is percentage of twelfth graders who smoke going up or down over time?<div style=padding-top: 35px> . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the slope of the model and explain the value of the slope in terms of the problem. Is percentage of twelfth graders who smoke going up or down over time?
Question
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. <div style=padding-top: 35px> . Find and explain the vertex.

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. <div style=padding-top: 35px> If you make 44 cakes you maximize your profit at $484.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. <div style=padding-top: 35px> If you make 44 cakes you minimize your profit at $484.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. <div style=padding-top: 35px> If you make 88 cakes you make no profit.
Question
Given a quadratic model Given a quadratic model   where t is time the formula for the time of the vertex is   __________.<div style=padding-top: 35px> where t is time the formula for the time of the vertex is Given a quadratic model   where t is time the formula for the time of the vertex is   __________.<div style=padding-top: 35px> __________.
Question
A quadratic model for the median price of a condo is given by <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Use the model to predict the median price of a condo in 2005.</strong> A) $300000 B) $195075 C) $305500 <div style=padding-top: 35px> . The variable x is the years since 2000. Use the model to predict the median price of a condo in 2005.

A) $300000
B) $195075
C) $305500
Question
The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative <div style=padding-top: 35px> is fit to the graphed data set will a be positive or negative? <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative <div style=padding-top: 35px>

A) positive
B) negative
Question
The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative <div style=padding-top: 35px> is fit to the graphed data set will a be positive or negative? <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative <div style=padding-top: 35px>

A) positive
B) negative
Question
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . How many cakes rounded to whole numbers should you bake in order to have a profit of $300?</strong> A) 71 cakes B) 17 cakes C) 17 or 71 cakes <div style=padding-top: 35px> . How many cakes rounded to whole numbers should you bake in order to have a profit of $300?

A) 71 cakes
B) 17 cakes
C) 17 or 71 cakes
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  <div style=padding-top: 35px>
Question
The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> is fit to the graphed data set estimate the coordinates of the vertex. <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> is fit to the graphed data set estimate the coordinates of the vertex. <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither? <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px>

A) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> linear
B) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> parabolic
C) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> neither
D) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic <div style=padding-top: 35px> parabolic
Question
The graph shows the average monthly high temperature in Newark NJ for months from April to September. Does the graph follow a linear pattern quadratic pattern or neither? <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. Does the graph follow a linear pattern quadratic pattern or neither?  </strong> A) linear B) quadratic C) neither <div style=padding-top: 35px>

A) linear
B) quadratic
C) neither
Question
You are given a quadratic model You are given a quadratic model   where t is time. If a is __________ the vertex identifies the minimum point.<div style=padding-top: 35px> where t is time. If a is __________ the vertex identifies the minimum point.
Question
You are given a quadratic model You are given a quadratic model   where t is time. If a is negative the vertex identifies the __________ point.<div style=padding-top: 35px> where t is time. If a is negative the vertex identifies the __________ point.
Question
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. <div style=padding-top: 35px> . Find and explain the vertical intercept.

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. <div style=padding-top: 35px> If you make 88 cakes you make no profit.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. <div style=padding-top: 35px> If you make 88 cakes you maximize your profit.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. <div style=padding-top: 35px> If you make no cakes you make no profit.
Question
A quadratic model for the median price of a condo is given by <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. <div style=padding-top: 35px> . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.

A) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. <div style=padding-top: 35px> At the end of 2000 the median price is $338604.
B) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. <div style=padding-top: 35px> At the end of 2003 the median price is $338604.
C) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. <div style=padding-top: 35px> At the end of 2004 the median price is $338604.
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  <div style=padding-top: 35px>
Question
The graph shows the average monthly high temperature in Newark NJ for months from November to April. Does the data graphed follow a linear pattern a parabolic pattern or neither? <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. Does the data graphed follow a linear pattern a parabolic pattern or neither?  </strong> A) linear B) parabolic C) neither <div style=padding-top: 35px>

A) linear
B) parabolic
C) neither
Question
A __________ model fits data points that follow a parabolic pattern.
Question
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  <div style=padding-top: 35px>
Question
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. <div style=padding-top: 35px> . Find and explain the horizontal intercept(s).

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. <div style=padding-top: 35px> If you make no cakes you make no profit.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. <div style=padding-top: 35px> If you make 44 cakes you minimize your profit at $484.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. <div style=padding-top: 35px> and <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. <div style=padding-top: 35px> If you make either 0 or 88 cakes you make no profit.
Question
If a quadratic model If a quadratic model   is fit to the graphed data set will a be positive or negative?  <div style=padding-top: 35px> is fit to the graphed data set will a be positive or negative? If a quadratic model   is fit to the graphed data set will a be positive or negative?  <div style=padding-top: 35px>
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set will a be positive or negative?  <div style=padding-top: 35px> is fit to the graphed data set will a be positive or negative? You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set will a be positive or negative?  <div style=padding-top: 35px>
Question
The average profit in dollars A that your baking business makes when baking n pies is given by The average profit in dollars A that your baking business makes when baking n pies is given by   . Find and explain the vertical intercept.<div style=padding-top: 35px> . Find and explain the vertical intercept.
Question
A quadratic model for the median home price in Tampa Florida is given by A quadratic model for the median home price in Tampa Florida is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.<div style=padding-top: 35px> . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.
Question
The profit in dollars A that your baking business makes when baking n pies is given by The profit in dollars A that your baking business makes when baking n pies is given by   . Find the number of pies you must sell to have a profit of $300. Round to whole number(s).<div style=padding-top: 35px> . Find the number of pies you must sell to have a profit of $300. Round to whole number(s).
Question
Does the data graphed follow a linear pattern a parabolic pattern or neither? Does the data graphed follow a linear pattern a parabolic pattern or neither?  <div style=padding-top: 35px>
Question
The profit in dollars A that your baking business makes when baking n pies is given by The profit in dollars A that your baking business makes when baking n pies is given by   . Find and explain the vertex.<div style=padding-top: 35px> . Find and explain the vertex.
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place.  <div style=padding-top: 35px> where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place.  <div style=padding-top: 35px>
Question
If a quadratic model If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  <div style=padding-top: 35px> is fit to the graphed data set estimate the coordinates of the vertex. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  <div style=padding-top: 35px>
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago.  <div style=padding-top: 35px> where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago.  <div style=padding-top: 35px>
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place.  <div style=padding-top: 35px> where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place.  <div style=padding-top: 35px>
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. Does the graph show a linear pattern a quadratic pattern or neither? You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. Does the graph show a linear pattern a quadratic pattern or neither?  <div style=padding-top: 35px>
Question
A quadratic model for the median home price in Tampa Florida is given by A quadratic model for the median home price in Tampa Florida is given by   . The variable x is the years since 2000. Use the model to predict the median home price in the year 2008.<div style=padding-top: 35px> . The variable x is the years since 2000. Use the model to predict the median home price in the year 2008.
Question
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  <div style=padding-top: 35px> is fit to the graphed data set estimate the coordinates of the vertex. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  <div style=padding-top: 35px>
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Deck 9: Modeling Data
1
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 1998.</strong> A) 59.9% B) 69.3% C) 47.2% where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 1998.

A) 59.9%
B) 69.3%
C) 47.2%
59.9%
2
If the prediction of the output value that you make based on the model is not possible or not reasonable __________ __________ occurred.
model breakdown
3
When you estimate an output value for an input value that is within the data input values by using the model you are doing __________.
interpolation
4
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2017 which are you doing?</strong> A) interpolation B) extrapolation where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2017 which are you doing?

A) interpolation
B) extrapolation
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5
Given the data set choose its scatterplot. Are the data approximately linear? <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear

A) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear linear
B) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear not linear
C) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear linear
D) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear not linear
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6
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the slope of the model and what does it mean in terms of the problem?</strong> A) 2.33. Every year seat belt use goes down 2.33. B) 2.33. Every year seat belt use goes down 2.33% C) 2.33. Every year seat belt use goes up 2.33% D) 64.60. Seat belt use started at 64.60% where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the slope of the model and what does it mean in terms of the problem?

A) 2.33. Every year seat belt use goes down 2.33.
B) 2.33. Every year seat belt use goes down 2.33%
C) 2.33. Every year seat belt use goes up 2.33%
D) 64.60. Seat belt use started at 64.60%
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7
Decide which line fits the data best.

A) <strong>Decide which line fits the data best.</strong> A)   B)
B) <strong>Decide which line fits the data best.</strong> A)   B)
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8
Given the data set choose its scatterplot. Are the data approximately linear? <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear

A) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear linear
B) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear not linear
C) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear linear
D) <strong>Given the data set choose its scatterplot. Are the data approximately linear?  </strong> A)   linear B)   not linear C)   linear D)   not linear not linear
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9
The __________ for a linear data set is the equation of the line which is the best fit for the data.
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10
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2006 which are you doing?</strong> A) interpolation B) extrapolation where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. If you use the model to predict the percentage of these passengers who used a seat belt in 2006 which are you doing?

A) interpolation
B) extrapolation
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11
Decide which line fits the data best.

A) <strong>Decide which line fits the data best.</strong> A)   B)
B) <strong>Decide which line fits the data best.</strong> A)   B)
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12
When you estimate an output value for an input value that is outside the data input values by using the model you are doing __________.
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13
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. Use the model to predict the percentage participation in 2020. Is this interpolation or extrapolation?</strong> A) 74.69% interpolation B) 74.69% extrapolation C) 39.05% interpolation D) 39.05% extrapolation where t is years since 1996. Use the model to predict the percentage participation in 2020. Is this interpolation or extrapolation?

A) 74.69% interpolation
B) 74.69% extrapolation
C) 39.05% interpolation
D) 39.05% extrapolation
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14
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. Use the model to predict the percentage participation in 2000. Is this interpolation or extrapolation?</strong> A) 52.65% interpolation B) 52.65% extrapolation C) 58.09% interpolation D) 58.09% extrapolation where t is years since 1996. Use the model to predict the percentage participation in 2000. Is this interpolation or extrapolation?

A) 52.65% interpolation
B) 52.65% extrapolation
C) 58.09% interpolation
D) 58.09% extrapolation
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15
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2017.</strong> A) 10.4% B) 100% C) 104.2% where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2017.

A) 10.4%
B) 100%
C) 104.2%
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16
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 where t is years since 1996. What is the vertical intercept in the model? What does it mean?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 participation started at 55.37% in 1996
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 participation goes up 55.37% each year since 1996
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 participation will be zero in 2081
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the vertical intercept in the model? What does it mean?</strong> A)   participation started at 55.37% in 1996 B)   participation goes up 55.37% each year since 1996 C)   participation will be zero in 2081 D)   participation will be zero in 2077 participation will be zero in 2077
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17
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation participation started at 55.37% in 1996. not extrapolation
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation participation goes up 55.37% each year since 1996. not extrapolation.
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation participation will be zero in 2081. extrapolation
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the horizontal intercept in the model? What does it mean? Is this extrapolation?</strong> A)   participation started at 55.37% in 1996. not extrapolation B)   participation goes up 55.37% each year since 1996. not extrapolation. C)   participation will be zero in 2081. extrapolation D)   participation will be zero in 2077. extrapolation participation will be zero in 2077. extrapolation
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18
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2005.</strong> A) 75% B) 76.3% C) 47.4% where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. Use the model to predict the percentage of these passengers who used a seat belt in 2005.

A) 75%
B) 76.3%
C) 47.4%
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19
The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 where t is years since 1996. What is the slope in the model? What does it mean?

A) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 participation started at 68% in 1996
B) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 participation goes up 68% each year since 1996
C) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 participation goes up 0.68% each year since 1996
D) <strong>The percentage of eighth grade students P participating in school music or performing arts in the years from 1996 to 2006 may be modeled by   where t is years since 1996. What is the slope in the model? What does it mean?</strong> A)   participation started at 68% in 1996 B)   participation goes up 68% each year since 1996 C)   participation goes up 0.68% each year since 1996 D)   participation goes down 0.68% each year since 1996 participation goes down 0.68% each year since 1996
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20
During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?

A) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. . In the year 1994 seat belt use was 64.60.
B) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. . In the year 2000 seat belt use was 64.60.
C) 2.33. Every year seat belt use goes up 2.33%
D) <strong>During the years 1994 to 2007 seat belt use among front seat passengers ages 16 to 24 has increased. A linear model for the percentage of these passengers who use a seat belt is   where P is percentage with a seat belt and t is years since 2000. The years before 2000 have a negative value for t. What is the vertical intercept of the model and what does it mean in terms of the problem?</strong> A)   . In the year 1994 seat belt use was 64.60. B)   . In the year 2000 seat belt use was 64.60. C) 2.33. Every year seat belt use goes up 2.33% D)   . In the year 2000 seat belt use was 64.60%. . In the year 2000 seat belt use was 64.60%.
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21
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. What is the horizontal intercept of this model? Round to one decimal place. What does it mean for this application? where t is years since 1980. What is the horizontal intercept of this model? Round to one decimal place. What does it mean for this application?
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22
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither? <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic

A) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic linear
B) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic parabolic
C) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic neither
D) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic parabolic
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23
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
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24
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who were overweight in 2000. where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who were overweight in 2000.
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25
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the vertical intercept of the model and explain its value in terms of the problem. . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the vertical intercept of the model and explain its value in terms of the problem.
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26
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the horizontal intercept? Explain its value in terms of the problem if any. . What is the horizontal intercept? Explain its value in terms of the problem if any.
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27
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . Use the model to estimate the number of participants in SNAP in 2015. Is this interpolation or extrapolation? . Use the model to estimate the number of participants in SNAP in 2015. Is this interpolation or extrapolation?
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28
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the vertical intercept? Explain its value in terms of the problem. . What is the vertical intercept? Explain its value in terms of the problem.
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29
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . Use the model to estimate the number of participants in SNAP in 2003. Is this interpolation or extrapolation? . Use the model to estimate the number of participants in SNAP in 2003. Is this interpolation or extrapolation?
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30
The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data: The Supplemental Nutrition Assistance Program (SNAP) to provide food assistance has increased the number of participants in millions in the years from 2000 to 2008. Let P be the number of participants in millions and t be years since 2000. The following linear model fits the data:   . What is the slope? Explain its value in terms of the problem. . What is the slope? Explain its value in terms of the problem.
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31
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
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32
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the horizontal intercept of the model and explain its value in terms of the problem. Is this reasonable? . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the horizontal intercept of the model and explain its value in terms of the problem. Is this reasonable?
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33
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2020. Is this answer reasonable? . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2020. Is this answer reasonable?
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34
The population of the District of Columbia is given in the following table.
The population of the District of Columbia is given in the following table.   Draw a scatterplot and draw an eyeball best-fit line on the scatterplot. Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.
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35
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. What is the vertical intercept of this model? What does it mean for this application? where t is years since 1980. What is the vertical intercept of this model? What does it mean for this application?
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36
The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation The percentage P of 6 to 11 year old children in the U.S. who are overweight may be modeled by the equation   where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who will be overweight in 2020. Is this estimate reasonable? where t is years since 1980. Use the model to predict the percentage of 6 to 11 year old U.S. children who will be overweight in 2020. Is this estimate reasonable?
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37
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2010. Is this answer reasonable? . P is the percentage of twelfth graders who smoke and t is years since 2002. Use the model to predict the percentage of twelfth grade students who smoke in 2010. Is this answer reasonable?
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38
The population of Florida is given in the following table.
The population of Florida is given in the following table.   Draw a scatterplot and draw an eyeball best-fit line on the scatterplot. Draw a scatterplot and draw an eyeball best-fit line on the scatterplot.
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39
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
Given the data set draw a scatterplot. Clearly label and scale the axes. Are the data approximately linear?
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40
During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is During the years 2002 to 2008 smoking among twelfth grade students was declining. A linear model for the percentage of twelfth grade students who smoke is   . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the slope of the model and explain the value of the slope in terms of the problem. Is percentage of twelfth graders who smoke going up or down over time? . P is the percentage of twelfth graders who smoke and t is years since 2002. Find the slope of the model and explain the value of the slope in terms of the problem. Is percentage of twelfth graders who smoke going up or down over time?
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41
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. . Find and explain the vertex.

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. If you make 44 cakes you maximize your profit at $484.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. If you make 44 cakes you minimize your profit at $484.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertex.</strong> A)   If you make 44 cakes you maximize your profit at $484. B)   If you make 44 cakes you minimize your profit at $484. C)   If you make 88 cakes you make no profit. If you make 88 cakes you make no profit.
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42
Given a quadratic model Given a quadratic model   where t is time the formula for the time of the vertex is   __________. where t is time the formula for the time of the vertex is Given a quadratic model   where t is time the formula for the time of the vertex is   __________. __________.
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43
A quadratic model for the median price of a condo is given by <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Use the model to predict the median price of a condo in 2005.</strong> A) $300000 B) $195075 C) $305500 . The variable x is the years since 2000. Use the model to predict the median price of a condo in 2005.

A) $300000
B) $195075
C) $305500
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44
The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative is fit to the graphed data set will a be positive or negative? <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative

A) positive
B) negative
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45
The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative is fit to the graphed data set will a be positive or negative? <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set will a be positive or negative?  </strong> A) positive B) negative

A) positive
B) negative
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46
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . How many cakes rounded to whole numbers should you bake in order to have a profit of $300?</strong> A) 71 cakes B) 17 cakes C) 17 or 71 cakes . How many cakes rounded to whole numbers should you bake in order to have a profit of $300?

A) 71 cakes
B) 17 cakes
C) 17 or 71 cakes
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47
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
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Unlock for access to all 74 flashcards in this deck.
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48
The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   is fit to the graphed data set estimate the coordinates of the vertex. <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)

A) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
B) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
C) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
D) <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
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49
The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)   is fit to the graphed data set estimate the coordinates of the vertex. <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)

A) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
B) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
C) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
D) <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  </strong> A)   B)   C)   D)
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50
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither? <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic

A) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic linear
B) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic parabolic
C) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic neither
D) <strong>Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?  </strong> A)   linear B)   parabolic C)   neither D)   parabolic parabolic
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51
The graph shows the average monthly high temperature in Newark NJ for months from April to September. Does the graph follow a linear pattern quadratic pattern or neither? <strong>The graph shows the average monthly high temperature in Newark NJ for months from April to September. Does the graph follow a linear pattern quadratic pattern or neither?  </strong> A) linear B) quadratic C) neither

A) linear
B) quadratic
C) neither
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52
You are given a quadratic model You are given a quadratic model   where t is time. If a is __________ the vertex identifies the minimum point. where t is time. If a is __________ the vertex identifies the minimum point.
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53
You are given a quadratic model You are given a quadratic model   where t is time. If a is negative the vertex identifies the __________ point. where t is time. If a is negative the vertex identifies the __________ point.
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54
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. . Find and explain the vertical intercept.

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. If you make 88 cakes you make no profit.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. If you make 88 cakes you maximize your profit.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the vertical intercept.</strong> A)   If you make 88 cakes you make no profit. B)   If you make 88 cakes you maximize your profit. C)   If you make no cakes you make no profit. If you make no cakes you make no profit.
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55
A quadratic model for the median price of a condo is given by <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.

A) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. At the end of 2000 the median price is $338604.
B) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. At the end of 2003 the median price is $338604.
C) <strong>A quadratic model for the median price of a condo is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.</strong> A)   At the end of 2000 the median price is $338604. B)   At the end of 2003 the median price is $338604. C)   At the end of 2004 the median price is $338604. At the end of 2004 the median price is $338604.
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56
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
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Unlock for access to all 74 flashcards in this deck.
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57
The graph shows the average monthly high temperature in Newark NJ for months from November to April. Does the data graphed follow a linear pattern a parabolic pattern or neither? <strong>The graph shows the average monthly high temperature in Newark NJ for months from November to April. Does the data graphed follow a linear pattern a parabolic pattern or neither?  </strong> A) linear B) parabolic C) neither

A) linear
B) parabolic
C) neither
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58
A __________ model fits data points that follow a parabolic pattern.
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59
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Given the data set draw a scatterplot. Clearly label and scale the axes. Does the data set follow a linear pattern a parabolic pattern or neither?
Unlock Deck
Unlock for access to all 74 flashcards in this deck.
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60
The average profit in dollars A that your baking business makes when baking n cakes is given by <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. . Find and explain the horizontal intercept(s).

A) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. If you make no cakes you make no profit.
B) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. If you make 44 cakes you minimize your profit at $484.
C) <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. and <strong>The average profit in dollars A that your baking business makes when baking n cakes is given by   . Find and explain the horizontal intercept(s).</strong> A)   If you make no cakes you make no profit. B)   If you make 44 cakes you minimize your profit at $484. C)   and   If you make either 0 or 88 cakes you make no profit. If you make either 0 or 88 cakes you make no profit.
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61
If a quadratic model If a quadratic model   is fit to the graphed data set will a be positive or negative?  is fit to the graphed data set will a be positive or negative? If a quadratic model   is fit to the graphed data set will a be positive or negative?
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62
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set will a be positive or negative?  is fit to the graphed data set will a be positive or negative? You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set will a be positive or negative?
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63
The average profit in dollars A that your baking business makes when baking n pies is given by The average profit in dollars A that your baking business makes when baking n pies is given by   . Find and explain the vertical intercept. . Find and explain the vertical intercept.
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64
A quadratic model for the median home price in Tampa Florida is given by A quadratic model for the median home price in Tampa Florida is given by   . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem. . The variable x is the years since 2000. Find the vertex of the model. Explain it in this problem.
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65
The profit in dollars A that your baking business makes when baking n pies is given by The profit in dollars A that your baking business makes when baking n pies is given by   . Find the number of pies you must sell to have a profit of $300. Round to whole number(s). . Find the number of pies you must sell to have a profit of $300. Round to whole number(s).
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66
Does the data graphed follow a linear pattern a parabolic pattern or neither? Does the data graphed follow a linear pattern a parabolic pattern or neither?
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67
The profit in dollars A that your baking business makes when baking n pies is given by The profit in dollars A that your baking business makes when baking n pies is given by   . Find and explain the vertex. . Find and explain the vertex.
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68
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place.  where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the lowest average monthly high temperature. Round to the nearest month to make this estimate. Round to one decimal place.
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69
If a quadratic model If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  is fit to the graphed data set estimate the coordinates of the vertex. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.
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70
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago.  where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 2 months after you moved to Chicago.
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71
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place.  where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. A quadratic model for this data is   where y is the average monthly high temperature and x is months after you moved to Chicago. Use the model to predict the average monthly high temperature 8 months after you moved to Chicago. Round to one decimal place.
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72
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. Does the graph show a linear pattern a quadratic pattern or neither? You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. Does the graph show a linear pattern a quadratic pattern or neither?
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73
A quadratic model for the median home price in Tampa Florida is given by A quadratic model for the median home price in Tampa Florida is given by   . The variable x is the years since 2000. Use the model to predict the median home price in the year 2008. . The variable x is the years since 2000. Use the model to predict the median home price in the year 2008.
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74
You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.  is fit to the graphed data set estimate the coordinates of the vertex. You have moved to Chicago in the fall. The graph shows the average monthly high temperature for months since you moved to Chicago. If a quadratic model   is fit to the graphed data set estimate the coordinates of the vertex.
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