n The data show the number of viewers for television stars with certain salaries. Find the...

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n 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, 3.3 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 108 15 9.1 2 15 9.3 10.9 1.3 4.8 3 8 4 14 4.8 3.2 1.8 Click the icon to view the critical values of the Pearson correlation coefficient r. 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 $11 million? The best predicted number of viewers for a television star with a salary of $11 million is (Round to one decimal place as needed.) million. Is the result close to the actual number of viewers, 3.3 million? n 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, 3.3 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 108 15 9.1 2 15 9.3 10.9 1.3 4.8 3 8 4 14 4.8 3.2 1.8 Click the icon to view the critical values of the Pearson correlation coefficient r. 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 $11 million? The best predicted number of viewers for a television star with a salary of $11 million is (Round to one decimal place as needed.) million. Is the result close to the actual number of viewers, 3.3 million?