The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $11 million. Is the result close to the actual number of viewers, 7.8 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 111 7 9.4 6.8 13 1.1 10 O 6.9 5.7 4.3 6.2 1.5 A Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $11 million? The best predicted number of viewers for a television star with a salary of $11 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 7.8 million? O A. The result is not very close to the actual number O B. The result is exactly the same as the actual number of viewers of 7.8 million. OC. The result is very close to the actual number of viewers of 7.8 million. viewers of 7.8 million. O D. The result does not make sense given the context of the data.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question

2

The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $11 million. Is the result close to the actual number of viewers, 7.8 million?
Use a significance level of 0.05.
Salary (millions of $)
Viewers (millions)
111
7
6
13
7
4
10
9.4
6.8
5.7
4.3
1.1
6.2
1.5
6.9
Click the icon to view the critical values of the Pearson correlation coefficient r.
.....
What is the regression equation?
ý =
x (Round to three decimal places as needed.)
+
What is the best predicted number of viewers for a television star with a salary of $11 million?
The best predicted number of viewers for a television star with a salary of $11 million is
million.
(Round to one decimal place as needed.)
Is the result close to the actual number of viewers, 7.8 million?
O A. The result is not very close to the actual number of viewers of 7.8 million.
B. The result is exactly the same as the actual number of viewers of 7.8 million.
C. The result is very close to the actual number of viewers of 7.8 million.
D. The result does not make sense given the context of the data.
O O
Transcribed Image Text:The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $11 million. Is the result close to the actual number of viewers, 7.8 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 111 7 6 13 7 4 10 9.4 6.8 5.7 4.3 1.1 6.2 1.5 6.9 Click the icon to view the critical values of the Pearson correlation coefficient r. ..... What is the regression equation? ý = x (Round to three decimal places as needed.) + What is the best predicted number of viewers for a television star with a salary of $11 million? The best predicted number of viewers for a television star with a salary of $11 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 7.8 million? O A. The result is not very close to the actual number of viewers of 7.8 million. B. The result is exactly the same as the actual number of viewers of 7.8 million. C. The result is very close to the actual number of viewers of 7.8 million. D. The result does not make sense given the context of the data. O O
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 3 images

Blurred answer
Knowledge Booster
Discrete Probability Distributions
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman