(Mastering JMP) Identifying Important Variables in Your Data

Learn to use simple, interactive, statistical techniques to help identify important variables and interactions in your data as a precursor to building high performing prediction models and uncovering additional insights.

00:00:00 Understanding the Variable Selection Workflow
00:08:14 Cleaning Up Data to Ensure it is the Best Representation of the System You Plan to Study
00:14:01 Using Response Screening to ID the Most Important Variables Impacting Response
00:18:20 Using Predictor Screening (decision tree methods) to Test and Reduce Many Factors that may be Predicting Response
00:23:42 Use Multivariate Analysis to ID Variables that Have High Correlation
00:27:08 Cluster Variables to Group Correlated Variables and Identify the Single, Most-Representative Variable
00:32:00 Fitting Models (Response Screening and Stepwise Regression) to Find Interactions and Higher-Order Terms Based on Important and Unique Variables

Video Q&A and JMP resources: https://community.jmp.com/t5/Masterin...