Model Diagnostics

After building a model, you need to determine whether it reasonably approximates the behavior of your data.

Goodness-of-fit Tests. The Multinomial Logistic Regression procedure reports Pearson and Deviance goodness-of-fit statstics.

Model Fitting Information. A likelihood ratio test shows whether the model fits the data better than a null model.

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