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 39 inches. Is the result close to the actual weig significance level of 0.05 Chest size (inches) Weight (pounds) 44 41 213 206 41 55 176 309 51 42 D 300 178 Click the icon to view the critical values of the Pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficient r n -0.05 a=0.01 NOTE: To test Ho p=0 4 0.950 0.990 against H, p0, reject Ho What is the regression equation? y=-210.8 9.7x (Round to one decimal place as needed.) 5 0.878 0.959 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 What is the best predicted weight of a bear with a chest size of 39 inches? 9 0.666 0.798 10 0.632 0.765 The best predicted weight for a bear with a chest size of 39 inches is pounds. (Round to one decimal place as needed.) 11 0.602 0.735 12 0,576 0.708 13 0.553 0.684 Is the result close to the actual weight of 226 pounds? 14 0.532 0.661 15 0.514 0.641 OA. This result is very close to the actual weight of the bear. 16 0.497 0.623 17 0.482 0.606 OB. This result is not very close to the actual weight of the bear 18 0.468 0.590 OC. This result is exactly the same as the actual weight of the bear. 19 0.456 0.575 20 0.444 0.561 OD. This result is 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 0.269 100 0.196 0.256 n a=0.05 -0.01