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Advertising ($1,000s) 5.0 2.0 4.0 1.5 2.5 2.5 3.0 3.3 3.5 2.3 2.5 4.2 3.0 2.5 a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 1 decimal). Revenue TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = + TV Adv + NV Adv c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? - Select your answer - Interpret the coefficient in each case. In - Select your answer, the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures. In Select your answer - , 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 constant. d. Predict weekly gross revenue for a week when $3,500 is spent on television advertising and $2,300 is spent on newspaper advertising? + Gross Revenue ($1,000s) 96 90 95 92 95 94 94 94 Advertising ($1,000s) 1.5 2.0 NOTE: To compute the predicted revenues, use the coefficients you have computed rounded to two decimals, as you have entered them here. Then, round your predicted revenue to the nearest dollar.

Advertising ($1,000s) 5.0 2.0 4.0 1.5 2.5 2.5 3.0 3.3 3.5 2.3 2.5 4.2 3.0 2.5 a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 1 decimal). Revenue TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = + TV Adv + NV Adv c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? - Select your answer - Interpret the coefficient in each case. In - Select your answer, the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures. In Select your answer - , 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 constant. d. Predict weekly gross revenue for a week when $3,500 is spent on television advertising and $2,300 is spent on newspaper advertising? + Gross Revenue ($1,000s) 96 90 95 92 95 94 94 94 Advertising ($1,000s) 1.5 2.0 NOTE: To compute the predicted revenues, use the coefficients you have computed rounded to two decimals, as you have entered them here. Then, round your predicted revenue to the nearest dollar.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.

 

Click on the datafile logo to reference the data

.

 

Gross Revenue + ($1,000s) 96 90 95 92 95 94 94 94 Advertising ($1,000s) 5.0 2.0 Advertising ($1,000s) 1.5 2.0 1.5 2.5 3.3 2.3 4.0 2.5 3.0 3.5 2.5 4.2 3.0 2.5 a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 1 decimal). Revenue = TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = TVAdv + NVAdv + c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? - Select your answer - Interpret the coefficient in each case. In - Select your answer In - Select your answer 1 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 constant. d. Predict weekly gross revenue for a week when $3,500 is spent on television advertising and $2,300 is spent on newspaper advertising? , the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures. NOTE: To compute the predicted revenues, use the coefficients you have computed rounded to two decimals, as you have entered them here. Then, round your predicted revenue to the nearest dollar.
Transcribed Image Text:Gross Revenue + ($1,000s) 96 90 95 92 95 94 94 94 Advertising ($1,000s) 5.0 2.0 Advertising ($1,000s) 1.5 2.0 1.5 2.5 3.3 2.3 4.0 2.5 3.0 3.5 2.5 4.2 3.0 2.5 a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 1 decimal). Revenue = TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = TVAdv + NVAdv + c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? - Select your answer - Interpret the coefficient in each case. In - Select your answer In - Select your answer 1 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 constant. d. Predict weekly gross revenue for a week when $3,500 is spent on television advertising and $2,300 is spent on newspaper advertising? , the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures. NOTE: To compute the predicted revenues, use the coefficients you have computed rounded to two decimals, as you have entered them here. Then, round your predicted revenue to the nearest dollar.
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