Question: Examine the Minitab output shown here for a multiple regression analysis. How many predictors were there in this model? Comment on the overall significance of
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The regression equation is Y 4.096 -5.111X + 2.662X+ 1.557X3 + 1.141x + 1.650X, 1.248X5 0.436X 0.962X + 1.289Xg Predictor Coef Stdev Constant 4.096 1.2884 3.24 5.1111.8700 2.73 2.6622.0796 1.28 1.5571.2811 1.22 1.1411.47120.78 1.650 1.49941.10 1.2481.2735 0.98 0.4360.36171.21 0.9621.1896 0.81 1.2891.9182 0.67 . 006 .212 . 235 . 445 .281 336 .239 . 426 .508 S 3.503 R-Sq 40.8% R-Sa(adj.) 20.3% - Analysis of Variance Sourcee Regression Error Total DF MS 9 219.746 24.416 1.99 26 319.004 12.269 35 538.750 . 0825
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