A statistical program is recommended. You may need to use the appropriate appendix table or technology to answer this question. The owner of a theater would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Newspaper Weekly Television Gross Advertising Advertising Revenue ($1,000s) ($1,000s) ($1,000s) 95 89 94 91 94 93 93 5.0 2.0 4.0 2.5 3.0 3.5 2.5 3.0 1.5 2.0 1.5 2.5 3.3 2.3 4.2 2.5 (a) Find an estimated regression equation relating weekly gross revenue (in thousands of dollars) to television and newspaper advertising (in thousands of dollars). (Let x, represent television advertising, x₂ represent newspaper advertising, and y represent weekly gross revenue. Round your numerical values to two decimal places.)
A statistical program is recommended. You may need to use the appropriate appendix table or technology to answer this question. The owner of a theater would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Newspaper Weekly Television Gross Advertising Advertising Revenue ($1,000s) ($1,000s) ($1,000s) 95 89 94 91 94 93 93 5.0 2.0 4.0 2.5 3.0 3.5 2.5 3.0 1.5 2.0 1.5 2.5 3.3 2.3 4.2 2.5 (a) Find an estimated regression equation relating weekly gross revenue (in thousands of dollars) to television and newspaper advertising (in thousands of dollars). (Let x, represent television advertising, x₂ represent newspaper advertising, and y represent weekly gross revenue. Round your numerical values to two decimal places.)
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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![A statistical program is recommended. You may need to use the appropriate appendix table or technology to answer this question.
The owner of a theater would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
Weekly
Television
Newspaper
Gross Advertising Advertising
Revenue ($1,000s) ($1,000s)
($1,000s)
95
89
94
91
94
93
93
93
5.0
2.0
4.0
2.5
3.0
3.5
2.5
3.0
1.5
2.0
1.5
2.5
3.3
2.3
4.2
2.5
(a) Find an estimated regression equation relating weekly gross revenue (in thousands of dollars) to television and newspaper advertising (in thousands of dollars). (Let x₁ represent television advertising, x₂ represent newspaper advertising, and y represent weekly gross revenue. Round your numerical values to two decimal
places.)
ŷ =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9402dae5-21a3-4dc7-9cf5-c78b86597c29%2F86ddbf07-55c2-48cc-a23a-2ea35c88b0b9%2F61yfy5r_processed.png&w=3840&q=75)
Transcribed Image Text:A statistical program is recommended. You may need to use the appropriate appendix table or technology to answer this question.
The owner of a theater would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
Weekly
Television
Newspaper
Gross Advertising Advertising
Revenue ($1,000s) ($1,000s)
($1,000s)
95
89
94
91
94
93
93
93
5.0
2.0
4.0
2.5
3.0
3.5
2.5
3.0
1.5
2.0
1.5
2.5
3.3
2.3
4.2
2.5
(a) Find an estimated regression equation relating weekly gross revenue (in thousands of dollars) to television and newspaper advertising (in thousands of dollars). (Let x₁ represent television advertising, x₂ represent newspaper advertising, and y represent weekly gross revenue. Round your numerical values to two decimal
places.)
ŷ =
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
Step 1
Let represent television advertising.
represent newspaper advertising.
And represent weekly gross revenue.
We have given data,
95 | 5.0 | 1.5 |
89 | 2.0 | 2.0 |
94 | 4.0 | 1.5 |
91 | 2.5 | 2.5 |
94 | 3.0 | 3.3 |
93 | 3.5 | 2.3 |
93 | 2.5 | 4.2 |
93 | 3.0 | 2.5 |
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