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.)

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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 =
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
Step 1

Let x1 represent television advertising.

x2 represent newspaper advertising.

And y represent weekly gross revenue.

We have given data,

y x1 x2
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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