1.05. 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 45 Inches. Is the result close to the actual weight of 263 pounds? Use a significance level of Chest size (inches) 47 61 51 47 54 56 Weight (pounds) 282 495 371 349 421 389 Click the icon to view the critical values of the Pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r . X Critical Values of the Pearson Correlation Coefficient r What is the regression equation? a = 0.05 0 = 0.01 NOTE To test Ho p = 0 0.950 0.990 y=+[x(Round to one decimal place as needed.) against H, p#0, reject Ho 0.878 0.959 if the absolute value of r is 0 811 0.917 What is the best predicted weight of a bear with a chest size of 45 inches? greater than the critical 0.754 0.875 value in the table. The best predicted weight for a bear with a chest size of 45 Inches is |pounds. 0.707 0.834 0.656 0.798 (Round to one decimal place as needed.) 0 632 0.765 Is the result close to the actual weight of 263 pounds? 0.602 0.735 0.576 0.708 0.553 5.684 A. This result is not very close to the actual weight of the bear 0.532 0.661 O B. This result is close to the actual weight of the bear. 0.514 5.64 O C. This result is very close to the actual weight of the bear 0.497 0.623 0.482 0.606 O D. This result is exactly the same as the actual weight of the bear. 0.468 0.590 0.456 0.575 0.444 0.561 0.356 0.505 0.361 0.463 0.335 0.430 solut 0 312 0.402 0.294 0.378 0.279 0.361 0.254 0.330 0.236 D.305 ).220 0.286 0.207 0.269 5.196 0.258 = 0.05 a = 0.01 px- Print Done