To ensure that your results are valid, consider the following guidelines when you collect data, perform the analysis, and interpret your results.
If the response variable is categorical, your model is less likely to meet the assumptions of the analysis, to accurately describe your data, or to make useful predictions.
If you are not assessing the comparability of measurements, you can consider the following alternative analyses.
If the model does not fit the data, the results can be misleading. In the output, use residual plots and the fitted line plot to determine how well the model fits the data.