Data considerations for Predict for Binary Logistic

To ensure that your results are valid, consider the following guidelines when you collect data, perform the analysis, and interpret your results.

Perform binary logistic regression first
Predict uses the most recent binary logistic regression model that you fit for the response. If you did not perform Simple Binary Logistic Regression or Binary Logistic Regression, then you do not have a model to use prediction.
The model should provide a good fit to the data
Verify that the model meets the assumptions of the analysis before you predict. For more information, go to Interpret the key results for Simple Binary Logistic Regression or Interpret the key results for Binary Logistic Regression.
The values of the predictors should be within the range of the data that you used to fit the model
If you use the model with variable settings that are not within the range of the data that you used to fit the model, then the predictions can be misleading. Minitab displays a warning in the output for variable settings that are unusual, relative to the predictor values that you used to fit the model.
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