no 34.

The Excel output from this regression follows W N Regression Statistics 4 Multiple R 0.969981 5 R Square 0.940863 6 Adjusted R Square 0.922383 7 Standard Error 3.054403 8 Observations 22 10 ANOVA 11 di SS MS F Significance F 12 Regression 5 237 4.878 474.9755 50.91 180681 2.91657E-09 13 Residual 16 149.2701 9.329379 14 Total 21 2524.148 15 16 Coefficients andard Em 1 Stat P-value Lower 95% Upper 95% Lower 95.0% |Upper 95.0% 17 Intercept -121.246 21.09161 -5.74853 2.99189E-05 - 165.9579769 -76.53356592 -165.9579769 -76.53355592 18 Bicep 0.714156 0.465677 1.533587 0.144665712 -0.273034356 1.701345893 -0.273034356 1.701345893 19 Chest -0.02866 0.223889 -0.12803 0.899723087 -0.503287583 0.44595993 -0.503287583 20 Waist 0.44595993 0.730809 0.141255 5.173672 9.23562E-05 21 Height 0.431361 166 1.030257294 0.431361 166 1.030257294 0.391858 0.120348 3.256034 0.004957663 22 Thigh 0.136731108 0.646984804 0.136731108 0.646984804 0.841562 0.328303 2.563366 0.020832269 0.145589733 1.537533743 0.145589733 1.537533743 LEGION ESC FI FALAH F23 pts Question 34 A student researcher, Michael Larner, obtained the weight, height and various other physical measurements of 22 male subjects aged 16 to 30 years. Subjects were randomly chosen volunteers, all in reasonably good health. He collected measurements of mass (kg) and height (cm) and circumferences (cm) of biceps, chest, waist, thigh, head, forearm, neck, shoulder and calf. Use the data to predict a (16- to 30-year-old) male's mass from his height and the size of his biceps, chest, waist and thigh. Comment on the regression model and its strengths and weaknesses. Identify predictors which are significant at a = 0.05 and explain why the predictors are significant . The Excel output from this regression follows Regression Statistics A Multiple R 0.969981 5 R Square 0.940863 6 Adjusted R Square 0.922383 7 Standard Error 3.054403 8 Observations 22 19 10 ANOVA di SS MS F Significance F 2 Regression 5 237 4.878 47 4.9755 50.91 180681 2.91657 E-09 13 Residual 16 149.2701 9.329379 14 Total 21 2524. 148 Coefficienteandard En | Stat P-value Lower 95% Upper 95% |Lower 95.0% |Upper 95.0% LEGION Esc F2 F3