Likelihood Ratio Tests | ||||

Effect | Model Fitting Criteria | Likelihood Ratio Tests | ||

−2 Log Likelihood | Chi-Square | Df | Sig | |

Intercept | 109.357 | 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. |