Can you help me solve for letter d() on the first question.

A statistical program is recommended. The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly Gross Television Newspaper Revenue Advertising Advertising ($1,000s ($1,000s) ($1,000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 3.5 2.3 94 2.5 4.2 94 3.0 2.5 (a) Develop an estimated regression equation with the amount of television advertising as the independent variable. (Round your numerical values to two decimal places. Let x] represent the amount of television advertising in $1,000s and y represent the weekly gross revenue in $1,000s.) y = 88.64 + 1.60x (b) Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables. (Round your numerical values to two decimal places. Let x, represent the amount of television advertising in $1,000s, x, represent the amount of newspaper advertising in $1,000s, and y represent the weekly gross revenue in $1,000s.) y = 83.23 + 2.29x, + 1.3x2 (c) Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? No , it is 1.60 in part (a) and 2.29 in part (b). Interpret the coefficient in each case. In part (a) it represents the change in revenue due to a one-unit increase in television advertising expenditure. In part (b) it represents the change in revenue due to a one-unit increase in television advertising with newspaper advertising held constant. O In part (a) it represents the change in revenue due to a one-unit increase in television advertising expenditure. In part (b) it represents the change in revenue due to a one-unit increase in newspaper advertising with television advertising held constant. In part (a) it represents the change in revenue due to a one-unit increase in television advertising with newspaper advertising held constant. In part (b) it represents the change in revenue due to a one-unit increase in television advertising expenditure. O In part (a) it represents the change in revenue due to a one-unit increase in television advertising expenditure with newspaper advertising held constant. In part (b) it represents the change in revenue due to a one-unit increase in newspaper advertising with television advertising held constant. O In part (a) it represents the change in revenue due to a one-unit increase in newspaper advertising expenditure with television advertising held constant. In part (b) it represents the change in revenue due to a one-unit increase in television advertising with newspaper advertising held constant. (d) Predict weekly gross revenue (in dollars) for a week when $3,900 is spent on television advertising and $1,700 is spent on newspaper advertising. (Round your answer to the nearest cent.) $ 94.88 XThe owner ofa movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2). The estimated regression equation was 9 = 83.5 + 2.23x1 + 1.20x2. The computer solution, based on a sample of eight weeks, provided SST = 25.3 and SSR = 23.395. (a) Compute and interpret R2 and R32. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is i j . Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation isl i . (b) When television advertising was the only independent variable, R2 = 0.653 and Re2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis l "Select l preferred since both R2 and R52 show i \"Select->- v percentage of the variability of y explained when both independent variables are used. Need Help? mun wmhn Submit Answer /1 Points] ASWSBE14 15.E.01Z. 0/100 Submissions Used PRACTICE ANOTHER Ten observations were provided for a dependent variable y and two independent variables x1 and x2; for these data, SST = 15,1861 and SSR = 14,0651. (a) Compute R2. (Round your answer to three decimal places.) 2 R = (b) Compute R62. (Round your answer to three decimal places.) 2. Ra (:2) Does the estimated regression equation explain a large amount of the variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to one decimal place.) --Seleci-- Vi , after adjusting for the number of independent variables in the model, we see thati % of the variability in y has been accounted for