SPSS Regression Models enables you to apply more sophisticated models to your data using its wide range of nonlinear regression models. You can apply SPSS Regression Models, an add-on module for SPSS Base, to many disciplines, including:
- Market research: Study consumer buying habits
- Medical research: Study response to dosages through probit analysis
- Institutional research: Measure academic achievement tests
- Loan assessment: Analyze good and bad credit risks
SPSS Regression Models includes these procedures:
- Multinomial logistic regression (MLR): Predict categorical outcomes with more than two categories
- Binary logistic regression: Easily classify your data into two groups
- Nonlinear regression (NLR) and constrained nonlinear regression (CNLR): Estimate parameters of nonlinear models
- Probit analysis: Evaluate the value of stimuli using a logit or probit transformation of the proportion responding
The latest version includes additional diagnostics for use when developing a classification table.