JMP and JMP Pro identify important predictors suitable to predictive modeling, reducing variance caused by estimating unnecessary terms, and building predictive models. See case studies that show how to use JMP Stepwise Regression to find important variables and active model effects.
00:00 Understanding Stepwise Regression Principles and Goals
05:27 Examining how JMP Implements the Stepwise Regression Algorithm
08:10 Understanding the Stepwise Regression Methods
09:29 Evaluating the Model with Respect to Stopping Rules
12:58 Building and Running the Regression Model and Examining Results
See full video on using additional stepwise options and implementing stepwise methods using JMP Pro Generalized Regression: https://community.jmp.com/t5/Mastering-JMP/Deploying-Stepwise-Regression-Methods-in-JMP-and-JMP-Pro/ta-p/750616