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.

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a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 1 decimal).

apters 12 and 13
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
Television
Newspaper
Gross Revenue
Advertising
Advertising
($1,000s)
($1,000s)
($1,000s)
104
5.0
1.5
90
2.0
2.0
95
4.0
1.5
92
2.5
2.5
100
3.0
3.3
94
3.5
2.3
94
2.5
4.2
96
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
%3D
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 - V
the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures.
In
Select your answer - v, 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.
Transcribed Image Text:apters 12 and 13 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 Television Newspaper Gross Revenue Advertising Advertising ($1,000s) ($1,000s) ($1,000s) 104 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 100 3.0 3.3 94 3.5 2.3 94 2.5 4.2 96 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 %3D 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 - V the coefficient is an estimate of the change in revenue due to a one-unit change in television advertising expenditures. In Select your answer - v, 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.
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