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Logistic Regression

Type III (Wald) Tests

Wald tests are Chi-square statistics that test the null hypothesis that a parameter is 0; in other words, that the corresponding variable has no effect given that the other variables are in the model. These are approximate tests that are more accurate with larger sample sizes. In this example, only the coefficient for LI is statistically significant (p = 0.0297).

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