Identifying Important Variables in Your Data

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Learn to use simple statistical techniques to identify key variables and interactions in your data as a precursor to building powerful prediction models and uncovering additional insights. See how to use a variety of tools to quickly identify critical variables and root cause significant events in your data.

Resources

• Demo video about Model Screening 
• Documentation and examples for Fitting Linear Models
• Documentation and examples for Predictive and Specialized Modeling

• Bonus information  on creating less complex models to efficiently assess variable importance for large data

• Bonus information on using variable selection for data from designed experiments 

This is part of the Get Going with JMP series.