JMP 13 Fitting Linear Models

Chapter 11 

Logistic Regression with Nominal or Ordinal Responses

Fit Models for Categorical Responses

For nominal response variables, the Fit Model platform fits a linear model to a multi-level logistic response function using maximum likelihood. Likelihood ratio statistics and Lack of Fit tests are computed for the whole model. Likelihood ratio tests and Wald tests can be computed for each effect in the model. When the response is binary, odds ratios (with confidence intervals) are available.

For ordinal response variables, the Fit Model platform fits the cumulative response probabilities to the logistic distribution function of a linear model using maximum likelihood. Likelihood ratio test statistics are provided for the whole model and lack ...