For the punter data in Case Study 12.2, an additional

Chapter 12, Problem 12.50

(choose chapter or problem)

For the punter data in Case Study 12.2, an additional response, punting distance, was also recorded. The average distance values for each of the 13 punters are given. (a) Using the distance data rather than the hang times, estimate a multiple linear regression model of the type Y|x1,x2,x3,x4,x5 = 0 + 1x1 + 2x2 + 3x3 + 4x4 + 5x5 for predicting punting distance.(b) Use stepwise regression with a signicance level of 0.10 to select a combination of variables. (c) Generate values for s2, R2, PRESS, and 13 i=1|i| for the entire set of 31 models. Use this information to determine the best combination of variables for predicting punting distance. (d) For the nal model you choose, plot the standardized residuals against Y and do a normal probability plot of the ordinary residuals. Comment. Punter Distance, y (ft) 1 162.50 2 144.00 3 147.50 4 163.50 5 192.00 6 171.75 7 162.00 8 104.93 9 105.67 10 117.59 11 140.25 12 150.17 13 165.16