Based on the studio's data and the regression line, complete the following. (a) For these data, values for rental revenue that are greater than the mean of the values for rental revenue tend to be paired with values for theater revenue that are (Choose one) ▼ the mean of the values for theater revenue. (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?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Rental revenue
(in millions of dollars)
4.
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=3.30 +0.15x.
Theater revenue, X
Rental revenue, y
(in millions of dollars)
(in millions of dollars)
61.1
16.5
44.8
6.1
个y
18-
36.8
12.1
16
61.4
9.6
14-
13.3
9.7
12-
25.8
9.0
10-
ャ★
20.2
4.6
X.
8
26.3
7.7
7.3
2.6
48.5
15.9
27.7
11.7
20
30
70
28.3
2.8
Theater revenue
66.3
10.1
(in millions of dollars)
29.9
6.3
22
Transcribed Image Text:Rental revenue (in millions of dollars) 4. 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=3.30 +0.15x. Theater revenue, X Rental revenue, y (in millions of dollars) (in millions of dollars) 61.1 16.5 44.8 6.1 个y 18- 36.8 12.1 16 61.4 9.6 14- 13.3 9.7 12- 25.8 9.0 10- ャ★ 20.2 4.6 X. 8 26.3 7.7 7.3 2.6 48.5 15.9 27.7 11.7 20 30 70 28.3 2.8 Theater revenue 66.3 10.1 (in millions of dollars) 29.9 6.3 22
27.7
11.7
20
30
40
50
70
28.3
2.8
Theater revenue
66.3
10.1
(in millions of dollars)
29.9
6.3
15.6
2.2
Send data to calculator
Based on the studio's data and the regression line, complete the following.
(a) For these data, values for rental revenue that are greater than the mean of the values for
rental revenue tend to be paired with values for theater revenue that are (Choose one)
the mean of the values for theater revenue.
(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?
Transcribed Image Text:27.7 11.7 20 30 40 50 70 28.3 2.8 Theater revenue 66.3 10.1 (in millions of dollars) 29.9 6.3 15.6 2.2 Send data to calculator Based on the studio's data and the regression line, complete the following. (a) For these data, values for rental revenue that are greater than the mean of the values for rental revenue tend to be paired with values for theater revenue that are (Choose one) the mean of the values for theater revenue. (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?
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