Question: Study the Minitab output shown in Problem 13.7. Comment on the overall strength of the regression model in light of S, R2, and adjusted R2.
In Problem 13.7
The regression equationis
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Y = 4 . 096-5. 111x, + 2 . 662X2 + 1 . 557x, 1 . 141x, + 1 . 650 x, _ 1.248x, + 0 .4 3 6x, + 0.962x, + 1.289x, Predictor Coei Stdev Constant 4.096 1. 28843.24 5.111 1.8700 2.73 011 2.662 2.0796 1.28 21 1.5571.2811 1.22 235 1.141 1.4712 0.78 445 1.650 1.4994 1.10 281 1.248 1.2735 0.98 33 0.436 0.3617 1.21 239 0.962 1.1896 0.81.426 1.289 1.9182 0.67508 2 . 336 S 3.503 R-sq 40.8% R-sq (adj.) 20.3% - Analysis of Variance Source 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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The standard error of the estimate is 3503 R 2 is 408 and the ... View full answer
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