- R Code And Detail Explanation Please 132 0 0 71 38 0 71 0 53 0 1 48 78 0 69 0 50 0 2 21 69 0 8 1 (113.58 KiB) Viewed 44 times
53.0 1.48 78.0 69.0
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9.15. Kidney function. Creatinine clearance (Y) is an important measure of kidney function, but is difficult to obtain in a clinical office setting because it requires 24-hour urine collection. To determine whether this measure can be predicted from some data that are easily available, a kidney specialist obtained the data that follow for 33 male subjects. The predictor variables are serum creatinine concentration (Xi), age (X2), and weight (X3). Subject i X01 X12 X13 Y; 1 2 3 .71 1.48 2.21 38 78 69 71 69 85 132 53 50 788,乃似% 31 32 33 1.53 1.58 1.37 70 63 68 75 62 52 52 73 57 Adapted from W. J. Sbib and S. Weisberg. "Assessing Influence in Multiple Lincar Regression with incomplele Dala." Teclinometries 28 (1986). pp. 231-40 9.16. Refer to Kidney function Problem 9.15. a. Using first-order and second-order terms for each of the three predictor variables (centered around the mean) in the pool of potential X variables (including cross products of the first- order terms), find the three best hierarchical subset regression models according to the Cp criterion. b. Is there much difference in C, for the three best subset models? i