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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 =6g + 61 Advertising + E. The following ANOVA table shows a portion of the regression results. S.S F Regression 1 78.53 78.53 3.58 Residual 23 504 .62 21.91 Total 24 82.55 Coefficients Standard Error t-stat p-value Intercept 40 . 10 14.08 2. 848 3. 0052 Advertising 2. 82 1. 57 -1.895 Which of the following is the standard error of the estimate? Multiple Choice O 21.91 O 78.53 O 3.86 O 4.68