Version info: Code for this page was tested in SPSS 20. Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the…
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Version info: Code for this page was tested in SPSS 20. Multinomial logistic regression is used to model nominal outcome variables, in which the log odds of the outcomes are…
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Negative binomial regression is for modeling count variables, usually for over-dispersed count outcome variables. Please note: The purpose of this page is to show how to use various data analysis…
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Version info: Code for this page was tested in IBM SPSS 20. Please note: The purpose of this page is to show how to use various data analysis commands. It…
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Poisson regression is used to model count variables. Please note: The purpose of this page is to show how to use various data analysis commands.  It does not cover all…
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Probit regression, also called a probit model, is used to model dichotomous or binary outcome variables. In the probit model, the inverse standard normal distribution of the probability is modeled…
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This page shows an example simple regression analysis with footnotes explaining the output.  The analysis uses a data file about scores obtained by elementary schools, predicting api00 from enroll using…
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This page shows an example mutiple regression analysis with footnotes explaining the output.  The analysis uses a data file about scores obtained by elementary schools, predicting api00 from ell meals…
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Chapter Outline     1.0 Introduction     1.1 A First Regression Analysis     1.2 Examining Data     1.3 Simple linear regression     1.4 Multiple regression     1.5 Transforming variables     1.6…
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Chapter Outline     2.0 Regression Diagnostics     2.1 Unusual and Influential data     2.2 Tests on Normality of Residuals     2.3 Tests on Nonconstant Error of Variance     2.4 Tests…
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