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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) Part a 96 5.0 1.5 Develop an estimated regression equation with the amount of television advertising as the independent variable. 90 2.0 2.0 95 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 Part b Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part c Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case. Part d Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on ne

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 Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) Part a 96 5.0 1.5 Develop an estimated regression equation with the amount of television advertising as the independent variable. 90 2.0 2.0 95 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 Part b Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part c Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case. Part d Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on ne

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.


				Weekly Gross Revenue ($1000s)	Televison Advertising ($1000s)	Newspaper Advertising ($1000s)
Part a				96	5.0	1.5
Develop an estimated regression equation with the amount of television advertising as the independent variable.	90	2.0	2.0
95	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




Part b
Develop an estimated regression equation with both television advertising and news paper advertising as independent variables.






Part c
Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case.






Part d
Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on newspaper advertising?

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