This webinar is in English, 2:00 p.m. US Eastern Time.
JMP and JMP Pro offer techniques for identifying 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 and how that approach compares to JMP Pro Generalized Regression techniques that automatically incorporate variable selection.
This webinar covers: overview and explanation of underpinnings of the stepwise regression method; choosing stepwise regression options, comparing models, finding and implementing stepwise methods in JMP Pro Generalized Regression, interpreting reports, and advantages and limitations of Stepwise and Generalized Regression approaches.
