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 $13 million. Is the result close to the actual number of viewers, 8.7 million? Use a significance level of 0.05. Salary (millions of $) 98 14 2 11 11 7 14 1 Viewers (millions) 3.2 9.1 4.6 10.8 10.7 6.3 2.9 4.4Critical values of the pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r n = 0.05 1 = 0.01 NOTE: To test Ho: p=0 0.950 0.990 against Hy: p #0, reject Ho 0.878 0.959 if the absolute value of r is 0.811 0.917 greater than the critical 0.754 0.875 value in the table. 0.707 0.834 LO 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.59019 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40 0.312 0.402 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 90 0.207 0.269 100 0.196 0.256 a =0.05 a = 0.01