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 53 inches. Is the result dose to the actual weight of 475 pounds? Use a significance level of 0.05. 57 Chest size (inches) Weight (pounds) 44 59 55 59 44 O 403 645 563 587 548 406 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? < X Critical values of the pearson cerrelation coefficient r y=+x (Round to one decimal place as needed) What is the best predicted weight of a bear with a chest size of 53 inches? Critical Values of the Pearson Correlation Coefficient r NOTE To test H, p=0 a-0.01 0.990 0 959 0917 0.875 0.834 a-0.05 The best predicted weight for a bear with a chest size of 53 inches is pounds (Round to one decimal place as needed.) 0.950 0878 0.811 0.754 0.707 0 666 0 632 against H, p+0, reject H, jf the absolute value of ris greater than the critical value in the table 4. Is the result close to the actual weight of 475 pounds? 6. 8. O A. This result is exactly the same as the actual weight of the bear 0.798 0.765 0.735 0.708 0.684 0.661 0641 0623 0 606 0.590 O B. This result is not very close to the actual weight of the bear. 10 0.602 0.576 0 553 0532 11 OC. This result is close to the actual weight of the bear. 12 O D. This result is very close to the actual weight of the bear. 13 14 15 0.514 0.497 16 0.482 0.468 0456 0444 0.396 17 18 19 0575 0561 0 505 0 463 0430 20 25 30 0.361 0.335 0312 0 294 0279 0.254 0236 0.220 0 207 0 196 a-0.05 35 0.402 0378 0361 0330 0 305 0.286 40 45 50 60 70 80 0 269 0256 a-0.01 90 100

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