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i Critical Values of the Pearson Correlation Coefficient r nu X be pender Critical Values of the Pearson Correlation Coefficient r P.0 mill $ a = 0.05 a = 0.01 4 0.950 NOTE: To test Ho: P = 0 0.990 against H1: p #0, reject Ho 9 0.878 0.959 if the absolute value of r is B.2 O 0.811 0.917 greater than the critical 0.754 0.875 value in the table. 8 0.707 0.834 0.666 0.798 10 X 0.632 0.765 11 0.602 0.735 ed 12 0.576 0.708 13 0.553 0.684 ny 14 0.532 0.661 na 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 Print Done inThe 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 $) 118 13 4 11 9 6 8 9 Viewers (millions) 10.7 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? The best predicted number of viewers for a television star with a salary of $15 million is million. (Round to one decimal place as needed.)