MS Regression (e), MS Error (f), and F (g). Use the F value to test the hypothesis that all s are 0, at the 5% significance level. For the p value version of the test, us a statistical calculator or a statistical software package like Excel’s to find Significance F— the p value for F.

The table below shows some of the results of a multiple linear regression analysis intended to link the consumer confidence index to two independent variables: prevailing mortgage interest rate (x₁) and the most recent one month change in the price of gasoline (x₂).

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Regression Statistics Multiple R R Square Adsted RSquare3239 b) 80 Standard Error Observations 19 ANOVA df SS MS F Significance F Regression 2 227814 Emor Residual) 16 130301 Total 18 3581.15 Lowr Uppr Coeff Err tStatp.value 95% 95% Strd Intercept 154 604 13.130 7 200X 12677 18243 Interest -9.466 400 h) u rate (n) -52763.196 毋 (m) (0) change n gas price