Chi-Square-Based Fit Statistics
The next table in the output is the Goodness-of-Fit table. This table contains Pearson's chi-square statistic for the model and another chi-square statistic based on the deviance. These statistics are intended to test whether the observed data are inconsistent with the fitted model. If they are not-that is, if the significance values are large-then you would conclude that the data and the model predictions are similar and that you have a good model.

These statistics can be very useful for models with a small number of categorical predictors. Unfortunately, these statistics are both sensitive to empty cells. When estimating models with continuous covariates, there are often many empty cells, as in this example. Therefore, you shouldn't rely on either of these test statistics with such models. Because of the empty cells, you can't be sure that these statistics will really follow the chi-square distribution, and the significance values won't be accurate.