Publication date: 08/13/2020

All of the statistical tests in the Logistic Regression reports compare the fit of the specified model with subset or superset models, as illustrated in Figure 11.14. If a test shows significance, then the higher order model is justified.

• Whole model tests: if the specified model is significantly better than a reduced model without any effects except the intercepts.

• Lack of Fit tests: if a saturated model is significantly better than the specified model.

• Effect tests: if the specified model is significantly better than a model without a given effect.

Figure 11.14 Relationship of Statistical Tests

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