regressionproject

regressionproject - The regression equation is C1 = 0.640 +...

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Regression Analysis: C1 versus C2, C3, C4, C5, C6, C7 The regression equation is C1 = 0.640 + 0.980 C2 + 1.01 C3 + 1.00 C4 + 0.984 C5 + 1.00 C6 + 1.01 C7 956 cases used, 955 cases contain missing values Predictor Coef SE Coef T P Constant 0.64024 0.01397 45.81 0.000 C2 0.98040 0.01500 65.38 0.000 C3 1.00775 0.01507 66.86 0.000 C4 1.00135 0.01085 92.25 0.000 C5 0.98437 0.01503 65.48 0.000 C6 1.00167 0.01528 65.54 0.000 C7 1.00824 0.01500 67.22 0.000 S = 0.317224 R-Sq = 90.0% R-Sq(adj) = 89.9% Analysis of Variance Source DF SS MS F P Regression 6 859.50 143.25 1423.52 0.000 Residual Error 949 95.50 0.10 Total 955 955.00 Source DF Seq SS C2 1 0.40 C3 1 0.04 C4 1 187.58 C5 1 66.44 C6 1 150.33 C7 1 454.71 Unusual Observations Obs C2 C1 Fit SE Fit Residual St Resid 785 0.78 2.6232 2.7795 0.0480 -0.1563 -0.50 X 853 1.08 0.0295 0.0265 0.0483 0.0030 0.01 X 1835 0.42 -0.8601 -0.3139 0.0504 -0.5462 -1.74 X X denotes an observation whose X value gives it large leverage. Regression Analysis: C1 versus C2, C3, C4, C5, C6, C7
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Unformatted text preview: The regression equation is C1 = 0.640 + 0.980 C2 + 1.01 C3 + 1.00 C4 + 0.984 C5 + 1.00 C6 + 1.01 C7 956 cases used, 955 cases contain missing values Predictor Coef SE Coef T P Constant 0.64024 0.01397 45.81 0.000 C2 0.98040 0.01500 65.38 0.000 C3 1.00775 0.01507 66.86 0.000 C4 1.00135 0.01085 92.25 0.000 C5 0.98437 0.01503 65.48 0.000 C6 1.00167 0.01528 65.54 0.000 C7 1.00824 0.01500 67.22 0.000 S = 0.317224 R-Sq = 90.0% R-Sq(adj) = 89.9% Analysis of Variance Source DF SS MS F P Regression 6 859.50 143.25 1423.52 0.000 Residual Error 949 95.50 0.10 Total 955 955.00 Source DF Seq SS C2 1 0.40 C3 1 0.04 C4 1 187.58 C5 1 66.44 C6 1 150.33 C7 1 454.71 Unusual Observations Obs C2 C1 Fit SE Fit Residual St Resid 785 0.78 2.6232 2.7795 0.0480 -0.1563 -0.50 X 853 1.08 0.0295 0.0265 0.0483 0.0030 0.01 X 1835 0.42 -0.8601 -0.3139 0.0504 -0.5462 -1.74 X X denotes an observation whose X value gives it large leverage. Residuals vs Fits for C1...
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regressionproject - The regression equation is C1 = 0.640 +...

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