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 57 inches. Is the result close to the actual weight of 476 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) E Click the icon to view the critical values of the Pearson correlation coefficient r. 58 48 51 58 44 60 425 266 347 453 282 408 What is the regression equation? x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 57 inches? The best predicted weight for a bear with a chest size of 57 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 476 pounds? A. This result is exactly the same as the actual weight of the bear. B. This result is close to the actual weight of the bear. C. This result is not very close to the actual weight of the bear. D. This result is very close to the actual weight of the bear. Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficientr a = 0.05 a = 0.01 NOTE: To test Ho: p= 0 in against H,: p+0, reject Ho if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 0.878 0.959 6. 0.811 0.917 0.754 0.875 0.707 0.834 9. 0.666 0.798 10 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. Print Done
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 57 inches. Is the result close to the actual weight of 476 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) E Click the icon to view the critical values of the Pearson correlation coefficient r. 58 48 51 58 44 60 425 266 347 453 282 408 What is the regression equation? x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 57 inches? The best predicted weight for a bear with a chest size of 57 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 476 pounds? A. This result is exactly the same as the actual weight of the bear. B. This result is close to the actual weight of the bear. C. This result is not very close to the actual weight of the bear. D. This result is very close to the actual weight of the bear. Critical Values of the Pearson Correlation Coefficient r Critical Values of the Pearson Correlation Coefficientr a = 0.05 a = 0.01 NOTE: To test Ho: p= 0 in against H,: p+0, reject Ho if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 0.878 0.959 6. 0.811 0.917 0.754 0.875 0.707 0.834 9. 0.666 0.798 10 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. Print Done
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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