The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 51 inches. Is the result close to the actual weight of 422 pounds? Use a significance level of 0.05. Chest size (inches) 45 50 43 43 52 52 Weight (pounds) 352 374 275 314 440 367 E Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficie 0.950 0.990 against H1: p # 0 0.878 What is the regression equation? 0.959 6 if the absolute vi 0.811 0.917 7 greater than the y =[+x(Round to one decimal place as needed.) 0.754 0.875 value in the table 8 0.707 0.834 9 0.666 0.798 What is the best predicted weight of a bear with a chest size of 51 inches? 10 0.632 0.765 11 0.602 The best predicted weight for a bear with a chest size of 51 inches is |pounds. 0.735 12 0.576 0.708 (Round to one decimal place as needed.) 13 0.553 0.684 14 Is the result close to the actual weight of 422 pounds? 0.532 0.661 15 0.514 0.641 16 0.497 0.623 O A. This result is close to the actual weight of the bear. 17 0.482 0.606 O B. This result is not very close to the actual weight of the bear. 18 0.468 0.590 19 0.456 0.575 O C. This result is exactly the same as the actual weight of the bear. 20 0.444 0.561 O D. This result is very close to the actual weight of the bear. 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