Related Procedures

The Binary Logistic Regression procedure is a useful tool for predicting the value of a categorical response variable with two possible outcomes.

• If there are more than two possible outcomes and they do not have an inherent ordering, use the Multinomial Logistic Regression procedure. Multinomial logistic regression can also be used as an alternative when there are only two outcomes.
• If there are more than two possible outcomes and they are ordered, use the Ordinal Regression procedure.
• If there are more than two possible outcomes and your predictors can be considered scale, the Discriminat Analysis procedure can be useful. Discriminant analysis can also be used when there are only two outcomes.
• If the dependent variable and predictors are scale, use the Linear Regression procedure.
• If the dependent variable is scale and some or all predictors are categorical, use the GLM Univariate procedure.
• In order to use a tool that is more flexible than the classification table, save the model-predicted probabilities and use the ROC Curve procedure. The ROC Curve provides an index of accuracy by demonstrating your model's ability to discriminate between two groups. You can think of it as a visualization of classification tables for all possible cutoffs.

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