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) 101 8 5.5 3 12 12 7.4 6.8 4.7 50 0.0 23 0.1 3 A Click the icon to view the eritical values of the Pearson corelason coefficient e What is the regression equation? A Critical Values of the Pearson Correlation Coefficient r y=U•Lk (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 milion is million. (Round to one decimal place as needed.) . Critical Values of the Pearson Correlation Coefficientr =0.05 NOTE: To test Ha p0 against H p0. reject H. the absolute value of preater than the critical value in the table. E=0.01 in 4 0.050 0.000 0.050 0.017 0.875 0.834 0.878 0.811 0.764 0.707 0.000 0.432 0.002 0.570 Is the result elose to the actual number of viewers, 4.1 million? ris O A. The result is not very elose to the actual number of viewers of 4.1 million. OB. The result is very close to the actual number of viewers of 4.1 milion. 0.708 10 0.705 OC. The result is exacty the same as the actual number of viewers of 4.1 million. n, 11 0.735 O D. The result does not make sense given the context of the data. 12 0.708 13 0.553 0.684 0.001 14 0.532 15 0.514 0.841 0.407 10 17 0.023 0.000 0.482 18 0.468 0.500 0.675 10 0.456 20 25 30 0.444 0.300 0.301 0.661 0.505 0.403 35 40 45 50 00 0.335 0.430 0.402 0.378 0.312 0 204 0 279 0 254 0.3/2 0.381 70 80 0.330 0.305 0.200 0.236 0 220