最新多元线性回归分析xin精品课件.ppt

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1、Coefficientsa-.5771.241-.465.646.054.016.6663.377.002.005.011.095.484.633(Constant)体 重身 高Model1BStd. ErrorUnstandardizedCoefficientsBetaStandardizedCoefficientstSig.Dependent Variable: 肺 活 量a. AN OVAb3.07721.53815.642.000a2.55726.0985.63428RegressionResidualTotalModel1Sum ofSquaresdfMean SquareFSig.

2、Predictors: (Constant), 身高, 体重a. Dependent Variable: 肺活量b. Residuals Statisticsa1.60422.94082.2069.3314829-1.8182.214.0001.00029.06096.14728.09778.02521291.68772.92472.2135.3302629-.5411.5543.0000.3022029-1.7261.768.000.96429-1.8891.827-.0101.01329-.6483.5922-.0066.3343429-1.9941.919-.0071.03529.092

3、5.2101.9311.49929.000.236.036.04829.003.186.069.05429Predicted ValueStd. Predicted ValueStandard Error ofPredicted ValueAdjusted Predicted ValueResidualStd. ResidualStud. ResidualDeleted ResidualStud. Deleted ResidualMahal. DistanceCooks DistanceCentered Leverage ValueMinimumMaximumMeanStd. Deviatio

4、nNDependent Variable: 肺活量a. 岭迹图K.100.075.050.0250.000岭回归系数2.39351.2562.1189-1.0184-2.1557X3 w ith KX2 w ith KX1 w ith K B SE(B) Beta T=B/SEB Sig.TX1 .236110 .049566 .333852 4.763549 .000078X2 .077659 .068015 .077547 1.141795 .134251X3 .005561 .001041 .558977 5.339896 .000022常数项 8.908271 1.747590 .000000 5.097460 .000038