The accompanying SAS computer output relates to the sales revenue data from Problem 11 in Chapter 8. Use this output and, if necessary, the output for Problem 10 in Chapter 9 to answer the following questions.
a. Determine r2Y|X1,X2, the squared multiple correlation between sales revenue (Y) and the independent variables TV advertising expenditures (X1) and print advertising expenditures (X2).
b.-f. For the sales revenue data, answer the questions posed in Problem 12, parts (b) through (f).

Transcribed Image Text:

Regression of Y on X1 and X2 ANALYSIS OF VARIANCE Sum of DF Squares Mean Square F Value Pr> F Source Model Error Corrected Total 2 28.11853 14.05927 3 071480 0.23827 5 28.83333 59.01 0.0039 Root MSE Dependent Mean Coeff Var 0 48813 5.16667 944760 R-Square 0 9762 Adj R-Sq 0.9587 PARAMETER ESTIMATES Squared Partial Squared Partial Parameter Standard Error tValuePrtCorr Type Corr Type n Variable OFEstimate Iistercept X1 x2 2 10469 0.42197 499 0.0155 0.97358 24188 011913 10.42 00019 0.439440 0.97313 -0.19495 -0440.6874 0.06156 0.06156