I keep getting the answers incorrect. 12:10AAwww-awn.aleks.comO REGRESSION AND CORRELATIONPredictions from the least-.Can movie rental revenue be predicted?A movie studio wishes to determine the relationship between the revenuefrom rental of comedies on DVD and videotape and the revenue generatedfrom the theatrical release of such movies. The studio has the followingbivariate data from a sample of fifteen comedies released over the past fiveyears. These data give the revenue x from theatrical release (in millions ofdollars) and the revenue y from DVD and videotape rentals (in millions ofdollars) for each of the fifteen movies. Also shown are the scatter plot andthe least-squares regression line for the data. The equation for this line isy- 3,22 +0.15 x.Theater revenue,Rental revenue, y(in millions ofdollars)(in millions ofdollars)13.49.765.710.41661.510.227.42.81460.215.7127.62.21036.012.215.32.120.66.026.18.324.97.327.612.544.57.4Figure 148.915.531.55.2Send data to ExcelBased on the studio's data and the regression line, answer the following:1. Fill in the blank: For these data, values for rental revenue that areless than the mean of the values for rental revenue tend to be pairedwith values for theater revenue that are the mean of the valuesfor theater revenue.Choose one2. Fill in the blank: According to the regression equation, for anincrease of one million dollars in theater revenue, there is acorresponding of 0.15 million dollars in rental revenue.Choose one3. What was the observed rental revenue (in millions of dollars) when Inthe theater revenue was 61.5 million dollars?4. From the regression equation, what is the predicted rental revenue(in millions of dollars) when the theater revenue is 61.5 milliondollars? (Round your answer to at least one decimal place.)?ExplanationCheck 1. Fill in the blank: For these data, values for rental revenue that areless than the mean of the values for rental revenue tend to be pairedChoose onewith values for theater revenue that arethe mean of the valuesfor theater revenue.2. Fill in the blank: According to the regression equation, for anChoose oneincrease of one million dollars in theater revenue, there is acorrespondingof 0.15 million dollars in rental revenue.3. What was the observed rental revenue (in millions of dollars) whenthe theater revenue was 61.5 million dollars?4. From the regression equation, what is the predicted rental revenue(in millions of dollars) when the theater revenue is 61.5 milliondollars? (Round your answer to at least one decimal place.)

1. Fill in the blank: For these data, values for rental revenue that are less than the mean of the values for rental revenue tend to be paired with values for theater revenue that are. the mean of the values for theater revenue. 2. Fill in the blank: According to the regression equation, for an increase of one million dollars in theater revenue, there is a corresponding of 0.15 million dollars in rental revenue. 3. What was the observed rental revenue (in millions of dollars) when the theater revenue was 61.5 million dollars? 4. From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 61.5 million dollars? (Round your answer to at least one decimal place.)

1. Fill in the blank: For these data, values for rental revenue that are less than the mean of the values for rental revenue tend to be paired with values for theater revenue that are. the mean of the values for theater revenue. 2. Fill in the blank: According to the regression equation, for an increase of one million dollars in theater revenue, there is a corresponding of 0.15 million dollars in rental revenue. 3. What was the observed rental revenue (in millions of dollars) when the theater revenue was 61.5 million dollars? 4. From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 61.5 million dollars? (Round your answer to at least one decimal place.)

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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I keep getting the answers incorrect.

12:10
AA
www-awn.aleks.com
O REGRESSION AND CORRELATION
Predictions from the least-.
Can movie rental revenue be predicted?
A movie studio wishes to determine the relationship between the revenue
from rental of comedies on DVD and videotape 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 DVD and videotape 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- 3,22 +0.15 x.
Theater revenue,
Rental revenue, y
(in millions of
dollars)
(in millions of
dollars)
13.4
9.7
65.7
10.4
16
61.5
10.2
27.4
2.8
14
60.2
15.7
12
7.6
2.2
10
36.0
12.2
15.3
2.1
20.6
6.0
26.1
8.3
24.9
7.3
27.6
12.5
44.5
7.4
Figure 1
48.9
15.5
31.5
5.2
Send data to Excel
Based on the studio's data and the regression line, answer the following:
1. Fill in the blank: For these data, values for rental revenue that are
less than the mean of the values for rental revenue tend to be paired
with values for theater revenue that are the mean of the values
for theater revenue.
Choose one
2. Fill in the blank: According to the regression equation, for an
increase of one million dollars in theater revenue, there is a
corresponding of 0.15 million dollars in rental revenue.
Choose one
3. What was the observed rental revenue (in millions of dollars) when In
the theater revenue was 61.5 million dollars?
4. From the regression equation, what is the predicted rental revenue
(in millions of dollars) when the theater revenue is 61.5 million
dollars? (Round your answer to at least one decimal place.)
?
Explanation
Check

1. Fill in the blank: For these data, values for rental revenue that are
less than the mean of the values for rental revenue tend to be paired
Choose one
with values for theater revenue that are
the mean of the values
for theater revenue.
2. Fill in the blank: According to the regression equation, for an
Choose one
increase of one million dollars in theater revenue, there is a
corresponding
of 0.15 million dollars in rental revenue.
3. What was the observed rental revenue (in millions of dollars) when
the theater revenue was 61.5 million dollars?
4. From the regression equation, what is the predicted rental revenue
(in millions of dollars) when the theater revenue is 61.5 million
dollars? (Round your answer to at least one decimal place.)

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