14 STAT promblems for STRONG HEART ONLY

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1. The minimum and maximum values of the correlation coefficient r are, respectively,

A. −1 and 0
B. −1 and 1
C. 0 and +∞
D. 0 and 1

2. In the left column below are listed the r-values of various data sets, each of which contains 100 points. Descriptions of those data sets are shown in the right column. Match each r-value with the description of the data set with which it is most likely associated.

r=0.1

 

A.

Data points lie quite close to a line with negative slope

r=0.6

 

B.

Data shows a clear upward trend

r=0.9

 

C.

Data shows a clear downward trend

r=−0.6

 

D.

Data shows a very slight upward trend

r=−0.9

 

E.

Data points lie quite close to a line with positive slope

Lecture24: Problem 4

3.. The numbers in the table below represent the average daily intake of sugar-sweetened soft drinks and the average weight for a particular group of men at various times over a period of 40 years. Use that data to answer the questions below.
Soda intake (gal) 8 12 17 17 20 25 31 31 41 35 39
Weight (lb) 174 176 174 169 174 173 174 188 183 176 200
To two decimal places, the correlation coefficient is To the nearest integer percent, about what percentage of weight gain is explained by soft drink consumption? % To four decimal places, the coefficients of the regression line are: slope:        intercept:
4. The minimum and maximum values of the coefficient of determination r2 are, respectively,

A. 0 and +∞
B. −1 and 1
C. −1 and 0
D. 0 and 1

5. The table below shows a measure of the “liberalness” of various American cities and a measure of the corresponding asking price per square foot for housing.

Liberalness

0

0

5

9

11

14

17

19

23

24

28

29

Price

1

3

1

1

1

7

6

6

6

9

6

16

Enter the slope and y-intercept of the regression line, using liberalness as the independent variable. Round your answers to two decimal places.

Slope:        Intercept:

Enter the correlation coefficient and the coefficient of determination for the data. Round your answers to two decimal places.

Correlation coefficient:     Coefficient of determination:

6. The table below shows the ages and bone densities for five women.

Age

39

42

44

49

49

Bone Density

338

336

324

324

312

Enter the slope and y-intercept of the regression line, using age as the independent variable. Round your answers to two decimal places.

 

 

Slope:

 

Intercept:

 

Using your regression line (with rounded coefficients), predict the bone density of a 53-year-old woman to the nearest whole number.

 

 

Estimate:

 

Did you just perform interpolation or extrapolation?
A. extrapolation
B. interpolation

 

Enter r for this data, each rounded to the nearest hundredth.

 

 

Correlation:

7. The table below shows the ages and bone densities for five women.

Age

39

42

44

49

49

Bone Density

338

336

324

324

312

Enter the slope and y-intercept of the regression line, using age as the independent variable. Round your answers to two decimal places.

 

 

Slope:

 

Intercept:

 

Using your regression line (with rounded coefficients), predict the bone density of a 53-year-old woman to the nearest whole number.

 

 

Estimate:

 

Did you just perform interpolation or extrapolation?
A. extrapolation
B. interpolation

 

Enter r for this data, each rounded to the nearest hundredth.

 

 

Correlation:

8. The table below shows a firm’s advertising budget, in thousands of dollars, and its sales, also in thousands of dollars, for one year.

Advertising

5.5

5.8

5.9

6

6.2

6.3

6.4

6.5

6.3

6.5

6.6

6.7

Sales

98

112

113

115

116

115

118

119

121

119

116

122

Find the correlation coefficient to two decimal places:

Which of the following is the equation of the regression line?


A. y=14.833x−22.998
B. y=14.833x+22.998
C. y=22.998x+14.833
D. y=−14.833x+22.998
E. y=22.998x−14.833
F. y=−14.833x−22.998

Using the regression line, estimate sales if the advertising budget is increased to 7.0 (i.e., $7,000).

 

 

Estimate: (Round to the nearest thousand dollars. E.g., if the regression line predicted 117.235, you would round to 117.)

 

Did you just perform interpolation or extrapolation?


A. interpolation
B. extrapolation

9. The following data represent a random sample of earwig density (x) and the proportion of males that have forceps (y).

Earwig Density

Proportion of Males with Forceps

0.25

0.05

5.4

0.2

12.6

0.63

20

0.18

25.3

0.05

33.1

0.56


Which of the following is the correlation coefficient?

A. 0.15
B. 0.35
C. 0.02
D. 1

Which of the following is the equation of the regression line?

A. y^=0.1235x+0.3514
B. y^=0.3514+0.1235x
C. y^=0.0072+0.1622x
D. y^=0.0072x+0.1622

10. The following scatter plot represents the lung capacity of children (y) as compared to the height of those children (x).


Click image to enlarge

The correlation coefficient for the data is r=0.84. Is it appropriate to use a linear model to make predictions?

A. Yes
B. No

Assuming that it is correct to do linear regression on the data, use the linear model of the data, y^=−82.1+1.05x, to predict the lung capacity for a child whose height is 150 cm.

A. 75.4 ml
B. 162.74 ml
C. 154.5 ml
D. 90.64 ml

11. The following scatter plot shows the number of wolf pups that survive winter vs. the inbreeding coefficient.

The correlation coefficient is −0.61 for this data. Is it appropriate to use a linear model to make predictions?

A. No
B. Yes

Assuming that it is correct to do regression on this data, use the linear model of this data, 6.59−11.45x, to predict how many pups will survive winter if the inbreeding coefficient is 0.23. (Obviously, you should round to the nearest integer here!)

12. The following scatter plot shows the number of wolf pups that survive winter vs. the inbreeding coefficient.

The correlation coefficient is −0.61 for this data. Is it appropriate to use a linear model to make predictions?

A. No
B. Yes

Assuming that it is correct to do regression on this data, use the linear model of this data, 6.59−11.45x, to predict how many pups will survive winter if the inbreeding coefficient is 0.23. (Obviously, you should round to the nearest integer here!)

13. Which of the following could be a value of the coefficient of determination r2?

A. −1.0994
B. −0.114
C. 0.0589
D. 1.122

14.The table below shows the total SAT scores and IQs of several students.

IQ

92

93

95

99

102

103

106

109

114

120

SAT

740

780

830

1000

830

880

1010

1010

1020

1170

First, find the coefficients of the regression line, using IQ as the independent variable. Round your answers to three decimal places.

    

Slope:

    

Intercept:

Next, use the equation of the regression line to estimate the SAT score of a student whose IQ is 100. Round your answer to the nearest whole integer.

    

SAT:

Finally, give the correlation coefficient, rounded to three decimal places.

    

Correlation coefficient: