Use Discriminant Analysis to classify observations into two or more groups when you have a sample with known groups.

Using this analysis, you can do the following:

- Determine how accurately the observations are classified into the known groups
- Evaluate how the predictor variables differentiate the groups
- Predict the groups for observations that have unknown groups

For example, a high school administrator uses discriminant analysis to determine which of three educational tracks a student should be placed in.

To perform a discriminant analysis, choose

.- When the groups are initially unknown, use Cluster Observations or Cluster Variables.
- If you have categorical predictors, or if you do not want to assume that the predictors are multivariate normal for each group, use logistic regression instead. If you have only two groups, use Fit Binary Logistic Model. If you have more than two groups, use Nominal Logistic Regression.