Newspaper Advertising ($1,000) 96 1.5 90 2.0 915 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 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 (to 1 decimal). Revenue- 85.6 16TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revue 84.422 2.337 TVAdv+ 1.0703NVAdv els the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)> No, the coefficients are not the same V Interpret the coefficient in each case In part (4) In part (0) constant. Weekly Cross Revenue ($1,000) Y Television Advertising ($1,000) 5.0 2.0 the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures with the amount of newspaper advertising I d. Predictly pros ne for a when 83,500 is spent on television advertising and $2,300 is spent on newspaper advertising? NOTE: To compute the predicted revenues, use the coefficants you have computed rounded to decimals, as you have entered them here. Then, round your predicted revenue to the nearest del