Materials from Bill Worley's Mastering webcast, Specifying and Fitting Models. View the videos.
A case study is used to show how to use JMP to model continuous and categorical data. See how to:
- Use Fit Model, Standard Least Squares and Stepwise Regression to build models.
- Avoid introducing possible irrelevant interactions by determining if main effects are sufficient.
- Compare actual to predicted outcomes.
- Use Effects Summary to add terms and eliminate terms not contributing to the model.
- Use reported statistics, the Prediction Profiler and Residual by Predicted Plots to compare models.
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- Fit one categorical response.
- Use Receiver Operating Characteristics Curve, Confusion Matrix and Prediction Profiler Desirability to evaluate and select the best model.
