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 $2 million. Is the result close to the actual number of viewers, 4.1 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) What is the regression equation? ŷ=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $2 million? The best predicted number of viewers for a television star with a salary of $2 million is (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 4.1 million? O A. The result is not very close to the actual number of viewers of 4.1 million. O B. The result is very close to the actual number of viewers of 4.1 million. The ra in avantly the name on the natural number of vinnen of 1 4 millian million. 101 8 5.5 7.4 8 3 12 12 6.8 4.7 5.6 6.6 8 2.3 9 9.1 D

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 26PFA
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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 $2 million. Is the result close to the actual number of viewers, 4.1 million? Use a significance level of 0.05.
Salary (millions of $)
Viewers (millions)
What is the regression equation?
y=+x (Round to three decimal places as needed.)
What is the best predicted number of viewers for a television star with a salary of $2 million?
The best predicted number of viewers for a television star with a salary of $2 million is million.
(Round to one decimal place as needed.)
Is the result close to the actual number of viewers, 4.1 million?
O A. The result is not very close to the actual number of viewers of 4.1 million.
O B. The result is very close to the actual number of viewers of 4.1 million.
C
The result is avaatlu the name as the natual number of vinuumen of 14 million
101
5.5
8
7.4
8
6.8
3
4.7
12
5.6
12
6.6
8
9
2.3 9.1
D
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 $2 million. Is the result close to the actual number of viewers, 4.1 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) What is the regression equation? y=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $2 million? The best predicted number of viewers for a television star with a salary of $2 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 4.1 million? O A. The result is not very close to the actual number of viewers of 4.1 million. O B. The result is very close to the actual number of viewers of 4.1 million. C The result is avaatlu the name as the natual number of vinuumen of 14 million 101 5.5 8 7.4 8 6.8 3 4.7 12 5.6 12 6.6 8 9 2.3 9.1 D
Is the result close to the actual number of viewers, 4.1 million?
O A. The result is not very close to the actual number of viewers of 4.1 million.
B. The result is very close to the actual number of viewers of 4.1 million.
C. The result is exactly the same as the actual number of viewers of 4.1 million.
D. The result does not make sense given the context of the data.
Transcribed Image Text:Is the result close to the actual number of viewers, 4.1 million? O A. The result is not very close to the actual number of viewers of 4.1 million. B. The result is very close to the actual number of viewers of 4.1 million. C. The result is exactly the same as the actual number of viewers of 4.1 million. D. The result does not make sense given the context of the data.
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