Likelihood Ratio Tests

Effect

Model Fitting Criteria

Likelihood Ratio Tests

−2 Log Likelihood

Chi-Square

Df

Sig

Intercept

109.357^a

0

0

0

Family Size

109.582

0.225

1

0.635

House

182.512

73.155

2

0

The chi-square statistic is the difference in −2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model. The null hypothesis is that all parameters of that effect are 0.