One case in the sample has Y = 60, X1 = 5, X2 = 7, X3 =
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Refer to the multiple regression output shown:
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The regression equation is Y = 43.4 - 6.82 X1 + 1.70 X2 + 1.70 X3 + 0.442 X4 Predictor Coef SE Coef т Constant 43.43 18.76 2.31 0.060 1.059 X1 -6.820 -6.44 0.001 X2 1.704 1.189 1.43 0.202 2.83 ХЗ 1.7009 0.6014 0.030 X4 3.01 0.4417 0.1466 0.024 S = 2.05347 R-Sq = 99.8% R-Sq(adj) = 99.6% Analysis of Variance MS Source DF Regression 4 10974.7 2743.7 650.66 0.000 25.3 Residual Error 4.2 Total 10 11000.0
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Related Book For
Statistics Unlocking The Power Of Data
ISBN: 9780470601877
1st Edition
Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock
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