(14) 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 +81 Advertising + E. The following ANOVA table shows a portion of the regression results. MS LL Regression 78.53 78.53 3.58 Residual 504.02 21.91 Total 582.55 Coefficients Standard Error t-stat p-value Intercept 40.10 14.08 2.848 0.0052 Advertising 2.88 1.52 -1.895 0.0608 Which of the following is the predicted Sales for a firm with Advertising of $300? O $4874.00 O $904.10 O $40,100 $48,740