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REVIEW QUESTIONS AND EXERCISES 525<br />

Index of Basal Insulin Basal Glucose<br />

Adiposity ( MU/ml) (mg/100 ml)<br />

Y X 1 X 2<br />

90 12 98<br />

112 10 103<br />

127 14 101<br />

137 11 102<br />

103 10 90<br />

140 38 108<br />

105 9 100<br />

92 6 101<br />

92 8 92<br />

96 6 91<br />

114 9 95<br />

108 9 95<br />

160 41 117<br />

91 7 101<br />

115 9 86<br />

167 40 106<br />

108 9 84<br />

156 43 117<br />

167 17 99<br />

165 40 104<br />

168 22 85<br />

Compute the multiple correlation coefficient and test for significance at the .05 level.<br />

11. As part of a study to investigate the relationship between stress and certain other variables, the<br />

following data were collected on a simple random sample of 15 corporate executives.<br />

(a) Find the least-squares regression equation for these data.<br />

(b) Construct the analysis of variance table and test the null hypothesis of no relationship among<br />

the five variables.<br />

(c) Test the null hypothesis that each slope in the regression model is equal to zero.<br />

(d) Find the multiple coefficient of determination and the multiple correlation coefficient. Let<br />

a = .05 and find the p value for each test.<br />

Annual<br />

Number of Years Salary<br />

Measure of Measure of in Present (1000)<br />

Stress (Y) Firm Size (X 1 ) Position (X 2 ) (X 3 ) Age (X 4 )<br />

101 812 15 $30 38<br />

60 334 8 20 52<br />

10 377 5 20 27<br />

27 303 10 54 36<br />

(Continued)

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