For the latest version of JMP Help, visit JMP.com/help.

Logistic regression models the probabilities of the levels of a categorical Y response variable as a function of one or more X effects. The Fit Model platform provides two personalities for fitting logistic regression models. The personality that you use depends on the modeling type (Nominal or Ordinal) of your response column.
When the response variable has a nominal modeling type, the platform fits a linear model to a multi-level logistic response function using maximum likelihood. Therefore, all but one response level is modeled by a logistic curve that represents the probability of the response level given the value of the X effects. The probability of the final response level is 1 minus the sum of the other fitted probabilities. As a result, at all values of the X effects, the fitted probabilities for the response levels sum to 1.

Help created on 3/19/2020