AU A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage industry and collects monthly data for 25 firms. He estimates the model: Sales = Bo + B Advertising + . The following ANOVA table shows a portion of the regression results. Regression Residual Total Intercept Advertising df 1 23 24 Coefficients 40.10 2.88, SS MS 78.53 78.53 504.02 21.91 582.55 Standard Error 14.08 1.52 F 3.58 t-stat p-value 2.848 0.0052 -1.895 0.0608

A marketing analyst wants to examine the relationship between sales (in $1,000 s) and advertising (in $100 s) for firms in the food and beverage industry and collects monthly data for 25 firms. He estimates the model: Sales =0+1 Advertising +. The following ANOVA table shows a portion of the regression results