Data considerations for Factorial Plots

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

First, perform an analysis that fits and stores a model

Factorial plots use a stored model that you fit for a response. If you did not perform an analysis that stores a model, you do not have a model to use. For more information, go to Stored model overview.

Note

For mixture designs, you do not need to fit the model first because the factorial plots display only data means.

Verify that the model meets the assumptions of the analysis

If the stored model does not meet the assumptions of the original analysis, the factorial plots might be inaccurate. For more information, click the original analysis below, and then go to the "Data considerations" topic and the "Key results" topic.

• Analyze Factorial Design
• Analyze Binary Response for Factorial Design
• Analyze Definitive Screening Design
• Analyze Binary Response for Definitive Screening Design
• Analyze Variability
• Analyze Response Surface Design
• Analyze Binary Response for Response Surface Design
• Fit General Linear Model
• Fit Mixed Effects Model
• Fit Regression Model or Linear Regression
• Fit Binary Logistic Model or Binary Logistic Regression
• Fit Poisson Model
• Analyze Mixture Design