Deck 4: Probability

Question 1

One of the primary feeds for beef cattle is corn. ) The correlation coefficient between the corn price and the ribeye price is 0.773. Which of the following is the best interpretation of the correlation coefficient?

A)The price of ribeye tends to go down and the price of corn goes up.
B)Increasing corn prices cause ribeye prices to increase.
C)The changes in corn price and ribeye price tend to go up and down together.
D)There is no correlation between the price of corn and the price of ribeye.

Answer 1

C

Question 2

The following display from a graphing calculator presents the least-squares regression Predict the commodity price when oil costs $107 per barrel.

A)$20
B)$44
C)$485
D)$70

Answer 2

A

Question 3

Characterize the relationship shown in the figure. )

A)negative nonlinear
B)positive nonlinear
C)negative linear
D)positive linear

Answer 3

B

Question 4

One of the primary feeds for beef cattle is corn. ) Construct a scatter plot of the price of ribeye (y)versus the price of corn (x). 2

Question 5

Compute the correlation coefficient.

A)0.809
B)0.899
C)48.99
D)0.101

Question 6

The following table presents the number of police officers (per 100,000 citizens)and the Compute the correlation coefficient between the per capita number of police officers and the per capita murder rate.

A)-0.900
B)0.810
C)-0.810
D)-0.846

Question 7

Compute the least-squares regression line for predicting y from x given the followingsummary statistics: )

Question 8

One of the primary feeds for beef cattle is corn. )

Question 9

For which of the following scatter plots is the correlation coefficient an appropriatesummary?

Question 10

One of the primary feeds for beef cattle is corn. )

Question 11

The common cricket can be used as a crude thermometer. )

Question 12

One of the primary feeds for beef cattle is corn. )

Question 13

The following table presents the number of police officers (per 100,000 citizens)and the Construct a scatter plot of the per capita murder rate (y)versus the per capita number of police officers (x).

Question 14

The following table presents the number of police officers (per 100,000 citizens)and the The correlation coefficient between the per capita number of police officers and the per capita murder rates -0.666. Which of the following is the best interpretation of the correlation
Coefficient?

A)Higher murder rates make it more difficult for cities to hire police officers.
B)The per capita number of police officers and the per capita murder rates arepositively associated.
C)More per capita police officers results in fewer per capita murders.
D)The per capita murder rate tends to go down as the per capita number of policeofficers goes up.

Question 15

The following display from a graphing calculator presents the least-squares regression

Question 16

Compute the least-squares regression line for the given data set.

Question 17

The following display from a graphing calculator presents the least-squares regression What is the correlation between the oil price and the commodity price?

A)5.11
B)0.24
C)0.71939
D)0.84817

Question 18

The common cricket can be used as a crude thermometer. )

Question 19

The common cricket can be used as a crude thermometer. )

Question 20

One of the primary feeds for beef cattle is corn. ) Compute the correlation coefficient between the corn price and the ribeye price.

A)0.815
B)0.965
C)0.664
D)0.185

Question 21

An automotive engineer computed a least-squares regression line for predicting the gas mileage

Question 22

For the following data set,)

A)9.7%
B)68.9%
C)31.1%
D)90.3%

Question 23

For the following data set,)

A)0.594
B)0.835
C)0.165
D)0.406

Question 24

An automotive engineer computed a least-squares regression line for predicting the gas mileage Predict the gas mileage when the vehicle is traveling at 60 mph.

A)24.3 mpg
B)27 mpg
C)54 mpg
D)30 mpg

Question 25

The following MINITAB output presents the lest squares regression line for predicting the price of

Question 26

As with many other construction materials,) Which of the following graphs is the correct residual plot for the data set? (Hint: )

Question 27

The following MINITAB output presents the least squares regression line for predicting the price

Question 28

MINITAB-style residual plots are shown below. )

Question 29

Of points 1,)

A)point 2
B)point 3
C)All have the same influence.
D)point 1

Question 30

As with many other construction materials,) Compute the coefficient of determination.

A)0.8270
B)-0.9094
C)-0.0906
D)0.1730