Answer Happy

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 44 inches. Is the result close to the actual weight of 323 pounds? Use a significance level of 0.05. Chest size (inches) 50 41 45 52 45 45 Weight (pounds) 321 221 265 335 307 265 Click the icon to view the critical values of the Pearson correlation coefficient r. ... What is the regression equation? Ÿ= + x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 44 inches? pounds. The best predicted weight for a bear with a chest size of 44 inches is (Round to one decimal place as needed.) Is the result close to the actual weight of 323 pounds? O A. This result is close to the actual weight of the bear. OB. This result is very close to the actual weight of the bear. OC. This result is not very close to the actual weight of the bear. O D. This result is exactly the same as the actual weight of the bear.

L < Critical Values of the Pearson Correlation Coefficient r n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 Critical Values of the Pearson Correlation Coefficient Q=0.05 a = 0.01 NOTE: To test Ho: p=0 0.950 0.990 Jagainst H, p#0, reject Ho 0.878 0.959 if the absolute value of ris 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 0.602 0.735 0.576 0.708 0.553 0.684 0.532 0.661 0.514 0.641 0.497 0.623 0.482 0.606 0.468 0.590 0.456 0.575 0.444 0.561 0.396 0.505 0.361 0.463 0.335 0.430 0.312 0.402 0.294 0.378 0.279 0.361 0.254 0.330 0.236 0.305 0.220 0.286 0.207 0.269 0.196 0.256 Q=0.05 a = 0.01 n