Shown here are the data for y and three predictors, x1, x2, and x3.A multiple regression analysis
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94 97 93 95 90 91 91 94 98 21 204 198 184 200 182 159 147 196 228 242 162 180 219 25 27 29 20 18 25 26 24 28 23 25 90 92 96 Regression Analysis Y versus X,, The regression equation is Y = 87.9-0.256 X -2. Predictor Constant 87.890 X1 X2 X3 S 0.850311 R-Sq 94.1% R-Sq (adj)-92.1% Analysis of Variance Source Regression Residual Error 9 Total 71 Xy + 0.0706 x, Coef SE Coef 3.445 25.51 0.000 -3.08 0.013 3.71 0.005 5.22 0.001 -0.25612 0.08317 2.7137 0.07061 0.01353 0.7306 DF MS 3 103.185 34.395 47.57 0.000 6.507 12 109.692 0.723
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The regression equation is 8789 0256 x 1 2714 x 2 00706 x 3 F 4757 with a p value of 0...View the full answer
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Business Statistics For Contemporary Decision Making
ISBN: 978-1118749647
8th edition
Authors: Black Ken
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