Question 25 5 pts 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 so collects monthly data for 25 firms. He estimates the model: Sales = Bo + B1 Advertising + & The following table shows a portion of the regression output: 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 When testing whether Advertising is significant at the 10% significance level, the conclusion is to not reject Ho; we can conclude advertising is significant O reject Ho; we can conclude advertising is significant O reject Ho; we cannot conclude advertising is significant O not reject Ho; we cannot conclude advertising is significantQuestion 26 5 pts 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 so collects monthly data for 25 firms. He estimates the model: Sales = Bo + B1 Advertising + & The following table shows a portion of the regression output: 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 When testing whether the slope coefficient differs from 3, the value of the t test statistic is O -1.895 O -0.079 O 0.079 1.895Question 27 5 pts An analyst is trying to purchase a large tract of land. The current owner of the tract has already subdivided the land into separate building lots and has prepared the lots by removing some of the trees. The developer wants to forecast the value of each lot. From previous experience, she knows that the most important factors affecting the price of a lot are size, number of mature trees, and distance to the lake. She runs the following multiple regression model for her analysis: Price = ,80 I 51 LotSz'ze I gT'rees I 53 Distance + 5 Identify the dependent and independent variables. Dependent variable: Lot Size; Independent variables: Price, Trees, Distance Dependent variable: Price; Independent variables: Lot Size, Trees, Distance Dependent variable: Distance; Independent variables: Lot Size, Trees, Price ' " Dependent variable: Trees; Independent variables: Lot Size, Price, Distance