Logistic Regression Overview
Logistic regression models the probabilities of the levels of a categorical Y response variable as a function of one or more X effects. The Fit Model platform provides two personalities for fitting logistic regression models. The personality that you use depends on the modeling type (Nominal or Ordinal) of your response column.
For more information about fitting logistic regression models, see Walker and Duncan (1967), Nelson (1976), Harrell (1986), and McCullagh and Nelder (1989).
For more information about the parameterization of the logistic regression model, see “Logistic Regression Model”.
Nominal Logistic Regression
When the response variable has a nominal modeling type, the platform fits a linear model to ...
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