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W14_RegPrintoutEx

# W14_RegPrintoutEx - Regression Analysis Y versus X1 The...

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Regression Analysis: Y versus X1 The regression equation is Y = __________ + 0.238 X1 Predictor Coef SE Coef T P Constant 21.54 31.55 ____ 0.501 X1 _______ _______ 12.11 0.000 S = ______ R-Sq = ____ R-Sq(adj) = 84.4% Analysis of Variance Source DF SS MS F P Regression __ ______ ______ 146.69 0.000 Residual Error __ 81471 ______ Total 27 ______ Unusual Observations Obs X1 Y Fit SE Fit Residual St Resid 9 3420 849.0 836.1 39.0 12.9 0.32 X 10 3000 829.0 736.0 31.1 93.0 2.00 X X denotes an observation whose X value gives it large influence. Predicted Values for New Observations New Obs Fit SE Fit 95.0% CI 95.0% PI 1 _____ ____ ( 229.7, 289.7) ( _____, _____) Values of Predictors for New Observations New Obs X1 1 1000

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Unformatted text preview: Regression Analysis: Y versus X1 The regression equation is Y = 21.5 + 0.238 X1 Predictor Coef SE Coef T P Constant 21.54 31.55 0.68 0.501 X1 0.23817 0.01966 12.11 0.000 S = 55.98 R-Sq = 84.9% R-Sq(adj) = 84.4% Analysis of Variance Source DF SS MS F P Regression 1 459648 459648 146.69 0.000 Residual Error 26 81471 3133 Total 27 541119 Unusual Observations Obs X1 Y Fit SE Fit Residual St Resid 9 3420 849.0 836.1 39.0 12.9 0.32 X 10 3000 829.0 736.0 31.1 93.0 2.00 X X denotes an observation whose X value gives it large influence. Predicted Values for New Observations New Obs Fit SE Fit 95.0% CI 95.0% PI 1 259.7 14.6 ( 229.7, 289.7) ( 140.8, 378.6) Values of Predictors for New Observations New Obs X1 1 1000...
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W14_RegPrintoutEx - Regression Analysis Y versus X1 The...

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