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Introductory Statistics Study Set 2
Quiz 4: Regression Analysis: Exploring Associations Between Variables
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Question 1
Essay
Use the following information for following questions . The following scatterplot shows the relationship between heights (in cm) and weights (in kg) of 100 Americans. The coefficient of determination was found to be 37.9%.
-Calculate the value of the correlation coefficient between height and weight.
Question 2
Essay
Use the following regression equation regarding airline tickets for following questions .
Note that Distance is the amount of miles between the departure and arrival cities, and Price is the cost of an airline ticket. -Interpret the slope of the regression equation in the context of the data.
Question 3
Essay
Use the following regression equation regarding airline tickets for following questions .
Note that Distance is the amount of miles between the departure and arrival cities, and Price is the cost of an airline ticket. -What is the expected ticket price for a flight between Los Angeles and New York City, which are 2448.3 miles apart?
Question 4
Essay
Which of the following scatterplots shows data with the highest correlation between the explanatory and response variables? Explain your reasoning.
Question 5
Essay
For the following scatterplot, what effect would the outlier have on the slope of the regression equation? Explain your reasoning.
Question 6
Essay
Given the following scatterplot, if the point in the upper left corner were removed, what would happen to the value of the correlation coefficient, r?
Question 7
Essay
Use the following information to answer Questions . The scatterplot below shows the relationship between the average monthly temperature and the monthly cost of a gas bill. The correlation coefficient between the values is −0.92.
-Do lower monthly temperature cause gas bills to be more expensive? Explain your reasoning.
Question 8
Essay
A study about exercise routines reported that the amount of time a person spends working out has a strong positive linear association with the amount of weight he/she loses. What can you determine about the relationship between amount of time spent at the gym and the amount of weight a person loses?
Question 9
Essay
Use the following information for following questions . Suppose data were recorded for 100 employees of a large company that included annual salaries and the number of years the employee has been in their current position. The mean annual salary was $58,000 with a standard deviation of 12,500. The mean number of years in the current position is 10 with a standard deviation of 3. The correlation coefficient between the two variables is approximately 0.93. -Calculation the value of the intercept for the linear model that predicts annual salary from the number of years in current position and interpret it in context, if appropriate.
Question 10
Essay
When will a correlation coefficient be negative?
Question 11
Essay
Use the following information for following questions . Suppose data were recorded for 100 employees of a large company that included annual salaries and the number of years the employee has been in their current position. The mean annual salary was $58,000 with a standard deviation of 12,500. The mean number of years in the current position is 10 with a standard deviation of 3. The correlation coefficient between the two variables is approximately 0.93. -Determine the correct value of the slope for the linear model that predicts annual salary from the number of years in current position and interpret it in context.
Question 12
Essay
Use the following information for following questions . The following scatterplot shows the relationship between heights (in cm) and weights (in kg) of 100 Americans. The coefficient of determination was found to be 37.9%.
-If we converted the x- axis to inches, instead of centimeters, what would happen to the value of the correlation coefficient?
Question 13
Essay
Use the following information to answer Questions . The scatterplot below shows the relationship between the average monthly temperature and the monthly cost of a gas bill. The correlation coefficient between the values is −0.92.
-Determine the value of the coefficient of determination
and explain its meaning in context?
Question 14
Essay
Use the following regression equation regarding airline tickets for following questions .
Note that Distance is the amount of miles between the departure and arrival cities, and Price is the cost of an airline ticket. -Interpret the intercept of the regression equation in the context of the data. Explain why the value is or is not meaningful.
Question 15
Essay
Which scatterplot below depicts a stronger linear relationship? Why? Explain what the scatterplot shows regarding a tree's volume.
Question 16
Essay
Use the following information for following questions . Suppose data were recorded for 100 employees of a large company that included annual salaries and the number of years the employee has been in their current position. The mean annual salary was $58,000 with a standard deviation of 12,500. The mean number of years in the current position is 10 with a standard deviation of 3. The correlation coefficient between the two variables is approximately 0.93. -If an employee earns an annual salary of $85,000, approximately how long has she held her current position at the company? Round your answer to the nearest year.
Question 17
Essay
Suppose the heights of teenagers were recorded in 2003 and then recorded again 5 years later, in 2008. For each person, the height in 2008 was 6 inches (15.24 centimeters) taller than the height in 2003. For example, a teenager who was 53 inches (134.62 cm) tall in 2003 measured at a height of 59 inches (149.86 cm) in 2008. What would be the correlation coefficient between the 2003 heights and the 2008 heights? Explain your reasoning.
Question 18
Essay
Suppose data were collected on neighborhoods about the number of crimes committed and the number of police who patrol the area. Which variable is the explanatory variable and which one is the response? Ex- plain your reasoning.
Question 19
Essay
Create a data set of 2 variables (X and Y) such that the relationship between X and Y would have a perfect negative correlation of −1.Note: The data set can be very small (three to four X and Y values).