Graphing Models in JMP

The first step in fitting any linear models should be exploratory graphing with the raw data.  In many cases, this step will provide preliminary answers to the hypotheses and will provide a general idea of the effect sizes for the predictors.  Sometimes, descriptive graphs will not provide the whole picture, in particular when the response is binary or with multiple continuous predictors. In these cases, it useful to plot the model predictions in order to fully understand the model.

This workshop will cover both how to create descriptive graphs and model-prediction graphs for a range of linear and logistic models. This workshop assumes familiarity with linear models (regression and anova) as well as logistic regression.

Methods will be demonstrated in a hands-on fashion using JMP. For more information on JMP licensing at Cornell, please visit