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22 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
22 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 + . The following ANOVA table shows a portion of the regression results. df SS MS Regression 78.83 78.83 3.6 3.33 Residual 23 503.63 21.9 points Total 24 582 .46 Coefficients 01:18:28 Standard Error t-stat Intercept p-value 39. 8 14. 02 2. 839 0 . 0054 Advertising 2. 65 1.38 -1.92 0. 0607 Book Which of the following is the coefficient of determination? Multiple Choice O 0.1353 O 0.1565 O 0.8447 0.8647
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