Weekly Television Newspaper Gross Revenue Advertising Advertising ($1,000) ($1,000) ($1,000) 96 5.0 1.5 90 2.0 2.0 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- 88.6 + 1.6TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Ravenue 84.422 2.137 TVAdy+ 1.070 NVAdv cls 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() In part()) constant. 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 held d. Predict weekly gross revenue for a tree when 83,500 is spent on television advertising and $2,300 is spent on newspaper advertising? NOTE: To compute the predicted revenues, use the coefficents you have computed rounded to two decimals, as you have entered them here. Then, round your predicted revenue to the nearest d 92