The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the indepe
Posted: Wed May 11, 2022 2:35 pm
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 39 inches. Is the result close to the actual weight of 116 pounds? Use a significance level of 0.05. Chest size (inches) 44 41 41 55 51 42 D Weight (pounds) 213 206 176 309 300 178 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? ĝ=+ Nx (Round to one decimal place as needed.)
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 n Critical Values of the Pearson Correlation coefficient Q=0.05 a=0.01 NOTE: To test Ho: p=0 0.950 0.990 against H, p#0, reject H, 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 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 n Critical Values of the Pearson Correlation coefficient Q=0.05 a=0.01 NOTE: To test Ho: p=0 0.950 0.990 against H, p#0, reject H, 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