Question
In: Statistics and Probability
A movie box office gross is used to predict DVD Revenue. For a sample of 20...
A movie box office gross is used to predict DVD Revenue. For a sample of 20 movies, an analysis of variance showed that b1 = 0.3224 and Sb1 = 0.0645.
1. At the 0.05 level of significance, is there evidence of a linear relationship between box office gross and DVD Revenue?
2. Construct a 95% confidence interval estimate of the population slope, B1.
Answer the following:
tSTAT=
Critical value(s) is(are)?
The 95% confidence interval is?
Solutions
orchestra answered 2 years agoRelated Solutions
A box office analyst seeks to predict opening weekend box office gross for movies. Toward this...
A box office analyst seeks to predict opening weekend box office
gross for movies. Toward this goal, the analyst plans to use
online trailer views as a predictor. For each of the 66 movies,
the number of online trailer views from the release of the trailer
through the Saturday before a movie opens and the opening weekend
box office gross (in millions of dollars) are collected and
stored in the accompanying table. A linear regression was performed
on these data,...
The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue ()...
The owner of Showtime Movie Theaters, Inc., used multiple
regression analysis to predict gross revenue () as a function of
television advertising () and newspaper advertising ().
Weekly Gross Revenue
(s)
Televison Advertising
(s)
Newspaper Advertising
(s)
97
6
2.5
90
3
2
95
5
2.5
92
2.5
3.5
96
3
4.3
94
3.5
3.3
95
3.5
4.2
95
4
3.5
The estimated regression equation was .
The computer solution provided .
a. Compute (to 3 decimals).
Compute (to 3 decimals).
b....
The owner of Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y)...
The owner of Showtime Movie Theaters,
Inc., used multiple regression analysis to predict gross revenue
(y) as a function of television advertising (x
1) and newspaper advertising (x2). The estimated regression
equation was
Weekly Gross Revenue ($1000s)
Televison Advertising ($1000s)
Newspaper Advertising ($1000s)
96
5
2.5
90
3
3
96
5
1.5
92
3.5
2.5
96
4
4.3
94
4.5
2.3
95
3.5
5.2
95
4
3.5
ŷ = 76.3 + 3.41 x 1 + 1.33 x
2
The computer...
The owner of a movie theater company would like to predict weekly gross revenue as a...
The owner of a movie theater company 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
($1,000s)
Television
Advertising
($1,000s)
Newspaper
Advertising
($1,000s)
96
5
1.5
90
2
2
95
4
1.5
93
2.5
2.5
95
3
3.3
94
3.5
2.2
94
2.5
4.1
94
3
2.5
(a)
Use α = 0.01 to test the hypotheses
H0:
β1 = β2 = 0
Ha:
β1...
The owner of a movie theater company would like to predict weekly gross revenue as a...
The owner of a movie theater company 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
($1,000s)
Television
Advertising
($1,000s)
Newspaper
Advertising
($1,000s)
96
5
1.5
91
2
2
95
4
1.5
93
2.5
2.5
95
3
3.3
94
3.5
2.3
94
2.5
4.1
94
3
2.5
(a)
Use α = 0.01 to test the hypotheses
H0:
β1 = β2 = 0
Ha:
β1...
The owner of a movie theater company would like to predict weekly gross revenue as a...
The owner of a movie theater company 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
($1,000s)
Television
Advertising
($1,000s)
Newspaper
Advertising
($1,000s)
96
5
1.5
90
2
2
95
4
1.5
93
2.5
2.5
95
3
3.3
94
3.5
2.3
94
2.5
4.1
94
3
2.5
1. Use α = 0.01 to test the hypotheses
H0:
β1 = β2 = 0
Ha:
β1...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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
has been collected in the Microsoft Excel Online file below. Open
the spreadsheet and perform the required analysis to answer the
questions below.
Weekly Gross Revenue ($1000s)
Television Advertising ($1000s)
Newspaper Advertising($1000s)
97
6
1.5
91
2
2
96
5
1.5
93
2.5
2.5
95
4
3.3
94
3.5
2.3
95...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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) 97 5 1.5 90 2 3 96 4 2.5 92 2.5 2.5
95 3 3.3 95 3.5 2.3 95 2.5 4.2 95 3 3.5 Use = .01 to test the
hypotheses for the model y = 0 + 1 x 1...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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)
97
5
1.5
90
2
3
96
4
2.5
93
3.5
2.5
96
3
4.3
94
3.5
2.3
95
2.5
5.2
95
3
3.5
a. Use to test the hypotheses
and/or is not equal to zero
for the model , where
television advertising...
The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a...
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
($1,000s)
Television
Advertising
($1,000s)
Newspaper
Advertising
($1,000s)
96
5.0
1.5
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
(a)
Develop an estimated regression equation with the amount of
television advertising as the independent variable. (Round...
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