Data considerations for Predict

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

Perform simple or multiple regression first

Predict uses the most recent simple or multiple regression model that you fit for the response. If you did not perform simple or multiple regression, then you do not have a model to use for 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 Multiple Regression or Interpret the key results for Simple 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.
By using this site you agree to the use of cookies for analytics and personalized content.  Read our policy