($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 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. d. Predict weekly gross revenue for a week when $3,400 is spent on television advertising and $2,000 is spent on newspaper advertising? 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. 24

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 42PFA
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d. Predict weekly gross revenue for a week when $3,400  is spent on television advertising and $2,000 is spent on newspaper advertising?

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.

napters 12 and 13
($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
b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals).
Revenue
TVAdv +
NVAdv
%3D
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 $3,400 is spent on television advertising and $2,000 is spent on newspaper advertising?
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.
%24
Transcribed Image Text:napters 12 and 13 ($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 b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue TVAdv + NVAdv %3D 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 $3,400 is spent on television advertising and $2,000 is spent on newspaper advertising? 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. %24
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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