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 $15 million. Is the result close to the actual number of viewers, 9.0 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 118 10.7 13 4 11 9 9 1.3 10.2 10.9 3.2 25 7.2 4.3 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y = 5.313 + 0.044 x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $15 million? million. The best predicted number of viewers for a television star with a salary of $15 million is donimal place as needed)
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 $15 million. Is the result close to the actual number of viewers, 9.0 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 118 10.7 13 4 11 9 9 1.3 10.2 10.9 3.2 25 7.2 4.3 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y = 5.313 + 0.044 x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $15 million? million. The best predicted number of viewers for a television star with a salary of $15 million is donimal place as needed)
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: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 $15 million. Is the result close to the actual number of viewers, 9.0 million? Use a significance
level of 0.05.
Salary (millions of $)
Viewers (millions)
118
13
10.7
4
11
9
8
9.
1.3
10.2
10.9
3.2
2.5
7.2
4.3
Click the icon to view the critical values of the Pearson correlation coefficient r.
What is the regression equation?
y = 5.313 + 0.044 x (Round to three decimal places as needed.)
What is the best predicted number of viewers for a television star with a salary of $15 million?
million.
The best predicted number of viewers for a television star with a salary of $15 million is
(Round to one decimal place as needed.)
Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r
nu
be
pender
.0 milli
Critical Values of the Pearson Correlation Coefficient r
a = 0.05
a = 0.01
NOTE: To test Ho: p=0
4
0.950
0.990
against H,: p 0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
0.878
0.959
B.2
to
6.
0.811
0.917
7
0.754
0.875
0.707
0.834
io
9.
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
ed
13
0.553
0.684
14
0.532
0.661
nu
15
0.514
0.641
ma
0.623
16
0.497
0.482
0.606
17
0.590
18
0.468
0.575
19
0.456
0.561
0.444
20
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in
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