The accompanying SAS computer output relates to the radial keratotomy data from Problem 12 in Chapter 8. Use this output and, if necessary, the output from Problem 11 in Chapter 9 to answer the following questions.
a. Determine r2Y|X1,X2, the squared multiple correlation between change in refractive error (Y) and the independent variables baseline refractive error (X1) and baseline curvature (X2).
b-f. For the radial keratotomy data, answer the questions posed in Problem 12, parts (b) through (f).

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Regression of Y on X1 and X2 ANALYSIS OF VARIANCE Mean DF Squares Square F Value Pr> F Sum of Source Model Error Corrected Total 2 17.62277 8.81139 51 62 63017 204 53 80.25294 7.18 00018 1.10817 3.83343 28.90811 R-Square Root MSE Dependent Mean Coeff Var 0.2196 Adj R-5q 01890 PARAMETER ESTIMATES Squared Partial Value Pr tt Corr Type Corr Type Squared Partial ParameterStandard Variable F Estimate Error Intercept X1 X2 2.43 0.0187 1 -0.29160 0.09165 -3.18 0.0025 12 36002 5,08621 0.16321 1 0.22040 0.11482 192 0.0605006737 0 16581 0.06737