After mastering simple and multiple regression, students can build skills in advanced regression techniques for situations that standard least squares can't readily handle. This webinar, intended for statistics instructors, guides you in using JMP Student Edition to teach a selection of advanced regression techniques for performing model selection, avoiding overfitting, and handling non-normal response distributions. Topics include:

• Stepwise regression.
• Regularized regression (lasso, ridge, elastic net).
• Generalized linear models.
• JMP teaching tips and resources.

Teaching foundational regression methods? See our on-demand webinar, Teaching Regression and ANOVA.

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Register for future JMP Academic webinars at jmp.com/academic-webinars.

Find other JMP Academic webinar recordings here.