Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y = 3.68+0.14x. Theater revenue, x (in millions of dollars) 49.0 7.0 31.0 60.5 25.9 27.9 62.0 15.3 35.7 13.0 28.1 21.6 66.4 44.6 25.2 Send data to calculator V Rental revenue, y (in millions of dollars) 15.9 2.4 5.1 15.4 6.4 2.5 9.9 2.0 12.4 10.5 13.0 6.4 9.4 7.4 8.2 Rental revenue (in millions of dollars) Based on the studio's data and the regression line, complete the following. 18 16 14 12 10 6 0 x 10 X 20 (a) For these data, values for theater revenue that are greater than the mean of the values for theater revenue tend to be paired with values for rental revenue that are (Choose one) the mean of the values for rental revenue. x (b) According to the regression equation, for an increase of one million dollars in theater revenue, there is a corresponding increase of how many million dollars in rental revenue? 30 40 50 Theater revenue (in millions of dollars) x 60 70 x
Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y = 3.68+0.14x. Theater revenue, x (in millions of dollars) 49.0 7.0 31.0 60.5 25.9 27.9 62.0 15.3 35.7 13.0 28.1 21.6 66.4 44.6 25.2 Send data to calculator V Rental revenue, y (in millions of dollars) 15.9 2.4 5.1 15.4 6.4 2.5 9.9 2.0 12.4 10.5 13.0 6.4 9.4 7.4 8.2 Rental revenue (in millions of dollars) Based on the studio's data and the regression line, complete the following. 18 16 14 12 10 6 0 x 10 X 20 (a) For these data, values for theater revenue that are greater than the mean of the values for theater revenue tend to be paired with values for rental revenue that are (Choose one) the mean of the values for rental revenue. x (b) According to the regression equation, for an increase of one million dollars in theater revenue, there is a corresponding increase of how many million dollars in rental revenue? 30 40 50 Theater revenue (in millions of dollars) x 60 70 x
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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Transcribed Image Text:Can movie rental revenue be predicted?
A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services
and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a
sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in
millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies.
Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is
y =
= 3.68 +0.14x.
Theater revenue, X
(in millions of dollars)
49.0
7.0
31.0
60.5
25.9
27.9
62.0
15.3
35.7
13.0
28.1
21.6
66.4
44.6
25.2
Send data to calculator
Rental revenue, y
(in millions of dollars)
15.9
2.4
5.1
15.4
6.4
2.5
9.9
2.0
12.4
10.5
13.0
6.4
9.4
7.4
8.2
Rental revenue
(in millions of dollars)
Based on the studio's data and the regression line, complete the following.
18
16
14-
12
10
8
6
4
2
0
y
10
X
20
(a) For these data, values for theater revenue that are greater than the mean of
the values for theater revenue tend to be paired with values for rental revenue
that are (Choose one) ▼ the mean of the values for rental revenue.
x
(b) According to the regression equation, for an increase of one million dollars in
theater revenue, there is a corresponding increase of how many million dollars
in rental revenue?
30
X
40
x
Theater revenue
(in millions of dollars)
1
50
X
60
70
X
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