After mastering simple and multiple regression, students can build skills in advanced regression techniques for situations that more basic techniques cannot handle. This webinar will guide you in using JMP Student Edition to teach a selection of advanced regression techniques for handling non-normal response distributions, performing model selection, and avoiding overfitting. Topics include:
- Generalized linear models.
- Stepwise regression.
- Regularized regression (lasso, ridge, elastic net).
- JMP teaching tips and resources.
Teaching foundational regression methods? See our on-demand webinar, Teaching Regression and ANOVA.
Get JMP software free for academic use at jmp.com/student