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 58 inches. Is the result close to the actual weight of 642 pounds? significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 384 580 53 542 41 40 40 D 358 306 320 Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r - X What is the regression equation? y=+x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 58 inches? The best predicted weight for a bear with a chest size of 58 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 642 pounds? Critical Values of the Pearson Correlation Coefficient r n a-0.05 a=0.01 NOTE: To test Ho p=0 4 0.950 0.990 5 0.878 0.959 against H, p0, reject Ho if the absolute value of ris 6 0.811 0.917 greater than the critical 7 0.754 0.875 value in the table. 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 OA. This result is not very close to the actual weight of the bear 12 0.576 0.708 13 0.553 0.684 OB. This result is close to the actual weight of the bear. 14 0.532 0.661 15 0.514 0.641 OC. This result is very close to the actual weight of the bear. 16 0.497 0.623 OD. This result is exactly the same as the actual weight of the bear. 17 0.482 0.606 18 0.468 0.590 19 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 n a-0.05 a-0.01