Statistics Homework Solutions 194

# Statistics Homework Solutions 194 - 0.23558 0.91947 0.368 R...

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194 CHAPTER 8 3. (a) Plot (i) came from Engineer B, and plot (ii) came from Engineer A. We know this because the variables x 1 and x 2 are both significantly different from 0 for Engineer A but not for Engineer B. Therefore Engineer B is the one who designed the experiment to have the dependent variables nearly collinear. (b) Engineer A’s experiment produced the more reliable results. In Engineer B’s experiment, the two dependent variables are nearly collinear. 5. (a) For R 1 4, the least squares line is R 2 1 233 0 264 R 1 . For R 1 4, the least squares line is R 2 0 190 0 710 R 1 . (b) The relationship is clearly non-linear when R 1 4. Quadratic Model Predictor Coef StDev T P Constant 1.2840 0.26454 4.8536 0.000 R 1 0.21661
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Unformatted text preview: 0.23558 0.91947 0.368 R 2 1 0.0090189 0.044984 0.20049 0.843 Cubic Model Predictor Coef StDev T P Constant 1 8396 0.56292 3 2680 0.004 R 1 4.4987 0.75218 5.9809 0.000 R 2 1 1 7709 0.30789 5 7518 0.000 R 3 1 0.22904 0.039454 5.8053 0.000 Quartic Model Predictor Coef StDev T P Constant 2 6714 2.0117 1 3279 0.200 R 1 6.0208 3.6106 1.6675 0.112 R 2 1 2 7520 2.2957 1 1988 0.245 R 3 1 0.49423 0.61599 0.80234 0.432 R 4 1 02558 0.05930 43143 0.671 (c) 1.5 2 2.5-0.5 0.5 Fitted Value Residual Quadratic Model 1 1.5 2 2.5-0.5 0.5 Fitted Value Cubic Model 1 1.5 2 2.5-0.5 0.5 Fitted Value Quartic Model...
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## This note was uploaded on 12/20/2011 for the course STA 3163 taught by Professor Mattgilg during the Fall '11 term at UNF.

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