JMP Academic Webinar - Teaching Advanced Regression

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A solid foundation in ordinary least squares (OLS) regression will take students a long way in their careers. Yet, many will someday encounter situations that OLS cannot readily handle. Perhaps the response distribution is non-normal. Or perhaps the predictors are highly correlated or outnumber the observations. Or maybe there are so many possible models that they need a principled way to select the best one. In these situations, familiarity with advanced regression techniques is critical. This webinar guides you in using JMP and JMP Pro to teach several advanced regression methods: generalized linear models, stepwise regression, and regularized regression. Emphasis is on JMP Pro’s Generalized Regression platform.