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 bestpredicted weight of a bear with a chest size of 63 inches. Is the result close to the actual weight of 442 pounds? Use a significance level of 0.05.Chest size (inches)585065595948Weight (pounds)414312499450456260Click the icon to view the critical values of the Pearson correlation coefficient r.What is the regression equation?Critical Values of the Pearson Correlation Coefficient ry=D+x (Round to one decimal place as neCritical Values of the Pearson Correlation Coefficient rNOTE: To test Ho: p=0against H,: p+0, reject Hoif the absolute value of r isgreater than the criticalvalue in the table.a = 0.05a = 0.0140.9500.9900.8780.8110.75450.95960.91770.87580.7070.8340.6660.798100.6320.765110.6020.735120.5760.708130.5530.684140.5320.661150.5140.641160.4970.623170.4820.6060.4680.456180.590190.575200.4440.561250.3960.505300.3610.4630.4300.402350.335400.312450.2940.378500.2790.361600.2540.330700.2360.305800.2200.286900.2070.2691000.1960.256a = 0.05a = 0.01PrintDone

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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 bes predicted weight of a bear with a chest size of 63 inches. Is the result close to the actual weight of 442 pounds? Use a significance level of 0.05. Chest size (inches) 58 50 65 59 59 48 Weight (pounds) 414 312 499 450 456 260 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? Critical Values of the Pearson Correlation Coefficient r y =+x (Round to one decimal place as ne Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: p=0 against H,: p+0, reject Ho if the absolute value of r is greater than the critical value in the table a = 0.05 a = 0.01 4 0.950 0.990 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 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 0.497 0.623 0.606 0.590 16 17 0.482 18 0.468 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 0.286 0.269 80 0.220 90 0.207 100 0.196 0.256 ¤ = 0.05 a = 0.01

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 bes predicted weight of a bear with a chest size of 63 inches. Is the result close to the actual weight of 442 pounds? Use a significance level of 0.05. Chest size (inches) 58 50 65 59 59 48 Weight (pounds) 414 312 499 450 456 260 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? Critical Values of the Pearson Correlation Coefficient r y =+x (Round to one decimal place as ne Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: p=0 against H,: p+0, reject Ho if the absolute value of r is greater than the critical value in the table a = 0.05 a = 0.01 4 0.950 0.990 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 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 0.497 0.623 0.606 0.590 16 17 0.482 18 0.468 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 0.286 0.269 80 0.220 90 0.207 100 0.196 0.256 ¤ = 0.05 a = 0.01

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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