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e 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 o wers for a television star with a salary of $3 million. Is the result close to the actual number of viewers, 8.0 million? Use a significance level of 0.05. lary (millions of $) ewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. C hat is the regression equation? +x (Round to three decimal places as needed.) hat is the best predicted number of viewers for a television star with a salary of $3 million? e best predicted number of viewers for a television star with a salary of $3 million is million. ound to one decimal place as needed.) 99 4.1 7 2.2 5 1.4 2 4.4 6 8.3 4 8.8 9 4.9 15 4.3

e 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 o wers for a television star with a salary of $3 million. Is the result close to the actual number of viewers, 8.0 million? Use a significance level of 0.05. lary (millions of $) ewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. C hat is the regression equation? +x (Round to three decimal places as needed.) hat is the best predicted number of viewers for a television star with a salary of $3 million? e best predicted number of viewers for a television star with a salary of $3 million is million. ound to one decimal place as needed.) 99 4.1 7 2.2 5 1.4 2 4.4 6 8.3 4 8.8 9 4.9 15 4.3

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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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 $3 million. Is the result close to the actual number of viewers, 8.0 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. 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 $3 million? The best predicted number of viewers for a television star with a salary of $3 million is (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 8.0 million? O A. The result is very close to the actual number of viewers of 8.0 million. → million. 99 7 4.1 2.2 5 1.4 2 4.4 6 8.3 4 9 8.8 4.9 15 D 4.3
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 $3 million. Is the result close to the actual number of viewers, 8.0 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. 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 $3 million? The best predicted number of viewers for a television star with a salary of $3 million is (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 8.0 million? O A. The result is very close to the actual number of viewers of 8.0 million. → million. 99 7 4.1 2.2 5 1.4 2 4.4 6 8.3 4 9 8.8 4.9 15 D 4.3
Is the result close to the actual number of viewers, 8.0 million? O A. The result is very close to the actual number of viewers of 8.0 million. B. The result is not very close to the actual number of viewers of 8.0 million. C. The result is exactly the same as the actual number of viewers of 8.0 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, 8.0 million? O A. The result is very close to the actual number of viewers of 8.0 million. B. The result is not very close to the actual number of viewers of 8.0 million. C. The result is exactly the same as the actual number of viewers of 8.0 million. D. The result does not make sense given the context of the data.
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