Calculate SS Regression (c), SS Error (d), MS Regression (e), MS Error (f), and F (g). Use the F value to test the hypothesis that all βs are0, at the 5% significance level.

You have been conducting a study of supermarket sales of ProDay energy bars. The table below shows partial results of a multiple linear regression analysis intended to link monthly sales to two independent variables: the width of the display space (in inches) allotted to the product (x₁) and the height (in inches) above floor level of the shelf on which the product is displayed. (x₂).

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Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.785 b) 25.41 18 ANOVA df 55 MS FSignifkance F Regression 2)e)(g) Emor (Residua) d Total 17 252529 Lowr Uppr coeff Strd Err tStat P-value 95% 9S% Intercept 4302 277 8 1488 10092 display 0387 3.00.33 1.96 width shelf height 0 SS 3498 0749 308