The data show the chest size and weight of several bears. Find the regression equation, letting chest size bo the indepe
Posted: Thu May 12, 2022 10:03 am
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The data show the chest size and weight of several bears. Find the regression equation, letting chest size bo the independent (x) variable. Then find the best pred weight of a beat with a chest size of 57 inches. Is the result close to the actual weight of 375 pounds? Use a significance level of 0.05 Chest size (inches) 48 51 58 44 60 Weight (pounds) 425 453 282 Click the icon to view the critical values of the Pearson correlation coefficient 58 266 347 408 What is the regression equation? 9-0.x (Round to one decimal place as needed.)
NOTE: To test Ho: p= 0 against Hi: #0, reject Ho lif the absolute value of ris greater than the critical value in the table. n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 (x = 0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 (x = 0.01 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402
40 45 8S 888 50 60 70 80 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 = 0.05 0.402 0.378 0.361 0.330 0.305 0.286 0.269 0.256 a= 0.01 90 100 n
The data show the chest size and weight of several bears. Find the regression equation, letting chest size bo the independent (x) variable. Then find the best pred weight of a beat with a chest size of 57 inches. Is the result close to the actual weight of 375 pounds? Use a significance level of 0.05 Chest size (inches) 48 51 58 44 60 Weight (pounds) 425 453 282 Click the icon to view the critical values of the Pearson correlation coefficient 58 266 347 408 What is the regression equation? 9-0.x (Round to one decimal place as needed.)
NOTE: To test Ho: p= 0 against Hi: #0, reject Ho lif the absolute value of ris greater than the critical value in the table. n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 (x = 0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 (x = 0.01 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402
40 45 8S 888 50 60 70 80 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 = 0.05 0.402 0.378 0.361 0.330 0.305 0.286 0.269 0.256 a= 0.01 90 100 n