Y X2 X1 48 - 2.3 50 36 57 X3 51 46 48 44 40 66 70 89 - . 41 28 43 2.3 2.2 1.8 1.8 2.9 2.2 2.4 - 36 54 46 50 49 42 45 52 54 48 26 77 29 62 50 48 53 89 67 29 43 47 38 55 1 2 3 4 5 5 7 B 51 57 66 79 88 34 53 36 33 29 51 54 49 56 46 2.9 2.1 2.4 2.4 2.4 2.3 2.2 2 2.5 1.9 2.1 2.4 2.3 2.9 2.3 1.8 2.5 2.5 2 60 33 49 55 29 77 49 51 52 58 50 52 44 43 1 2 B 4. 5 5 7 3 23 41 60 86 43 34 63 47 55 25 53 54 49 46 72 32 2.6 32 57 55 52 51 2.4 2.7 42 59 33 42 2 36 49 1.8 31 47 2 40 53 83 6 47 36 80 82 4 37 42 66 2.2 2.8 2.2 2.5 34 29 30 47 47 2.4 48 57 49 48 51 60 50 53 51 51 51 53 46 43 83 22 2.4 2.6 2.3 2 2.6 2.2 2.1 1.8 44 37 68 59 45 37 28 92 *9.9. Refer to Patient satisfaction Problem 6.15. The hospital administrator wishes to determine the best subset ol predictor variables for predicting patient satisaction, Chapter 9 Building the Regression Model I: Model Selection and Validation 377 a. Indicate which subset of predictor variables you would recommend best for predicting patient satisfaction according to each of the following criteria: (1) R2,p, (2) AICp, (3) Cp, (4) PRESS,. Support your recommendations with appropriate graphs. b. Do the four criteria in part (a) identify the same best subset? Does this always happen? c. Would forward stepwise regression have any advantages here as a screening procedure over the all-possible-regressions procedure? Y X2 X1 48 - 2.3 50 36 57 X3 51 46 48 44 40 66 70 89 - . 41 28 43 2.3 2.2 1.8 1.8 2.9 2.2 2.4 - 36 54 46 50 49 42 45 52 54 48 26 77 29 62 50 48 53 89 67 29 43 47 38 55 1 2 3 4 5 5 7 B 51 57 66 79 88 34 53 36 33 29 51 54 49 56 46 2.9 2.1 2.4 2.4 2.4 2.3 2.2 2 2.5 1.9 2.1 2.4 2.3 2.9 2.3 1.8 2.5 2.5 2 60 33 49 55 29 77 49 51 52 58 50 52 44 43 1 2 B 4. 5 5 7 3 23 41 60 86 43 34 63 47 55 25 53 54 49 46 72 32 2.6 32 57 55 52 51 2.4 2.7 42 59 33 42 2 36 49 1.8 31 47 2 40 53 83 6 47 36 80 82 4 37 42 66 2.2 2.8 2.2 2.5 34 29 30 47 47 2.4 48 57 49 48 51 60 50 53 51 51 51 53 46 43 83 22 2.4 2.6 2.3 2 2.6 2.2 2.1 1.8 44 37 68 59 45 37 28 92 *9.9. Refer to Patient satisfaction Problem 6.15. The hospital administrator wishes to determine the best subset ol predictor variables for predicting patient satisaction, Chapter 9 Building the Regression Model I: Model Selection and Validation 377 a. Indicate which subset of predictor variables you would recommend best for predicting patient satisfaction according to each of the following criteria: (1) R2,p, (2) AICp, (3) Cp, (4) PRESS,. Support your recommendations with appropriate graphs. b. Do the four criteria in part (a) identify the same best subset? Does this always happen? c. Would forward stepwise regression have any advantages here as a screening procedure over the all-possible-regressions procedure