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If all of spss variables are orthogonal spss each other, in other words, completely uncorrelated with each other, VIF is 1. If spss help variable is very intently related spss an alternate variables, spss variance inflation gets very large. A general VIF of 10 or better is of concern. Prediction power is tested via shopping at area under spss curve. The area under spss receiver operating characteristic ROC curve can provide us perception into spss predictive capacity of spss model. Each point on spss ROC curve represents spss help sensitivity or specificity pair corresponding spss spss help precise resolution threshold. If spss
value is equal spss 0. 5, spss model can be theory of as predicting at random. Higher values, approaching 1, indicate that spss model has
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Statistics In The Courtroom Assignment 1
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