Goodness-of-Fit

Figure 1. Goodness-of-fit tests
Goodness-of-fit tests

The goodness-of-fit table presents two tests of the null hypothesis that the model adequately fits the data.

  • If the null is true, the Pearson and likelihood ratio statistics have chi-square distributions with the displayed degrees of freedom.
  • If the significance value is small (less than 0.05), then the model does not adequately fit the data. In this case, its values are greater than 0.10, so you can proceed as if the model is reasonable.

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