Mbuy is a media consulting firm that provides advice to companies on how to allocate their advertising budgets. Mbuy designed a factorial experiment to test the effect of the size of a banner ad on a website and the ad design on the number (in thousands) of product inquiries received. Three advertising designs and two sizes of advertisements were considered. The following data were obtained. Test for any significant effects due to type of design, size of advertisement, or interaction. Use a = 0.05. If your answer is zero enter "0". Excel File: data16-23.xis Size of Advertisement Small Large 8 12 12 8 Design B 22 26 14 30 10 18 18 14 Let define: X1 = 0 if a small advertisement and 1 if a large advertisement X2 X3 Design 0 0 O V X1 X2 X3 X1X2 X1X3 8 (A, Small) 12 (A Small) 12 (A, Large) 8 (A, Large) 22 (B Small) 14 (B Small) 26 (B Large) 30 (B, Large) 10 (C Small) 18 (C Small 18 (C, Large 14 (C Large Regression Statistics Multiple R (to 4 decimals) R Square (to 4 decimals) Adjusted R Square (to 4 decimals) Standard Error (to whole number) Observations (to whole number) ANOVA df SS MS F Significance F (to whole number) (to whole number) (to 1 decimals) (to 1 decimals) (to 4 decimals) Regression Residual Total Coefficients Standard Error t Stat P-value (to whole number) (to 4 decimals) (to 4 decimals) (to 4 decimals) Intercept X1 X2 X3 X1X2 X1X3 The analysis shows that - Select your answer - \\\\ has a significant effect