Question: Nominal Logistic Fit for Overallcond_high Effect Summary Source LogWorth PValue YearBuilt 44.201 0.00000 YearRemodAdd 27.475 0.00000 SalePrice 7.873 0.00000 1stFirSF 3.148 0.00071 TotalBsmtSF 2.211 0.00616

 Nominal Logistic Fit for Overallcond_high Effect Summary Source LogWorth PValue YearBuilt44.201 0.00000 YearRemodAdd 27.475 0.00000 SalePrice 7.873 0.00000 1stFirSF 3.148 0.00071 TotalBsmtSF2.211 0.00616 2ndFirSF 2.209 0.00617 WoodDeckSF 1.726 0.01881 ScreenPorch 1.720 0.01906 BsmtUnfSF

Nominal Logistic Fit for Overallcond_high Effect Summary Source LogWorth PValue YearBuilt 44.201 0.00000 YearRemodAdd 27.475 0.00000 SalePrice 7.873 0.00000 1stFirSF 3.148 0.00071 TotalBsmtSF 2.211 0.00616 2ndFirSF 2.209 0.00617 WoodDeckSF 1.726 0.01881 ScreenPorch 1.720 0.01906 BsmtUnfSF 1.204 0.06249 Bathrooms 1.037 0.09187 GarageCars 0.991 0.10208 MasVnrArea 0.555 0.27853 BsmtFinSF2 0.498 0.31745 Pool 0.372 0.42466 Remove Add Edit Undo | FDR Converged in Gradient, 6 iterations DIterations 4 Whole Model Test Model -LogLikelihood DF ChiSquare Prob> ChiSq Difference 234.55119 14 469.1024 <.0001 full reduced rsquare aicc bic observations sum wgts fit details lack of source df loglikelihood chisquare saturated prob> ChiSq Fitted 14 503.79724 1.0000Parameter Estimates Term Estimate Std Error ChiSquare Prob> ChiSq Intercept -13.344341 10.345179 1.66 0.1971 GarageCars 0.23555793 0.1441416 2.67 0.1022 WoodDeckSF -0.0016132 0.0006801 5.63 0.0177* ScreenPorch -0.6463418 0.2699457 5.73 0.0167* Pool -0.893438 1.1944911 0.56 0.4545 SalePrice -1.3787e-5 2.3735e-6 33.74 <.0001 bathrooms bsmtfinsf2 bsmtunfsf totalbsmtsf yearbuilt yearremodadd masvnrarea for log odds of no dcovariance estimates effect likelihood ratio tests l-r source nparm df chisquare prob> ChiSq GarageCars 1 2.67268033 0.1021 WoodDeckSF 1 5.51866846 0.0188* ScreenPorch 5.49555637 0.0191* Pool 1 0.63739436 0.4247 SalePrice 1 32.2723596 <.0001 bathrooms bsmtfinsf2 bsmtunfsf totalbsmtsf yearbuilt yearremodadd masvnrarea matrix training predicted actual count overallcond_high no yes>

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