What it can do for your business
Use more than two categories
Use multinomial logistic regression to free you from constraints such as yes/no answers.
Classify your data into two groups
Apply binary logistic regression to predict dichotomous variables such as buy or not buy and vote or not vote.
Gain more control over models
Use constrained and unconstrained nonlinear regression procedures for model control. For example, specify constraints on parameter estimates or get bootstrap estimates of standard errors.
- Weighted least squares
- Probit analysis
- Predictor selection
- Two-stage least square regression