Shown here are the data for y and three predictors, x1, x2, and x3. A multiple regression
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Shown here are the data for y and three predictors, x1, x2, and x3. A multiple regression analysis has been done on these data; the Minitab results are given.
Comment on the outcome of the analysis in light of thedata.
Transcribed Image Text:
204 198 184 200 182 159 147 196 228 242 162 180 219 94 97 93 95 21 25 27 29 20 18 25 26 24 28 23 25 91 94 98 92 Regression Analysis: Y versus X1,X2, X3 The regression equation is Y = 87.9-0.256 X1-2.71 X2 + 0.0706 X Predictor Constant X1 X2 X3 S= 0.850311 R-Sq= 94.1% R-Sq (adi) = 92.1% Analysis of Variance Source Regression Residual Error 9 Total Coef SE Coef 87.890 3.44525.51 0.000 -3.08 0.013 0.7306 3.71 0.005 5.22 0.001 -0.25612 0.08317 -2.7137 0.07061 0.01353 DF MS 3 103.185 34.395 47.57 0.000 6.5070.723 12 109.692
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The regression equation is 8789 0256 x 1 2714 x 2 00706 x 3 F 47...View the full answer
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Related Book For
Business Statistics for Contemporary Decision Making
ISBN: 978-0470910184
6th Edition
Authors: Ken Black
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