K 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 362 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 Click the icon to view the critical values of the Pearson correlation coefficient r. CID 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 51 inches? The best predicted weight for a bear with a chest size of 51 inches is |pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 362 pounds? O A. This result is not very close to the actual weight of the bear. O B. This result is close to the actual weight of the bear. O C. This result is exactly the same as the actual weight of the bear. O D. This result is very close to the actual weight of the bear. - X ritical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficient r o = 0.05 x = 0.01 NOTE: To test Ho: p = 0 0.950 0.990 against H1: 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 0.666 0.798 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 0.590 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 x = 0.01