JMP 10 Modeling and Multivariate Methods

Contents 

Introduction to Logistic Models

The Logistic Fit Report

Logistic Plot

Iteration History

Whole Model Test

Lack of Fit Test (Goodness of Fit)

Parameter Estimates

Likelihood Ratio Tests

Logistic Fit Platform Options

Plot Options

Likelihood Ratio Tests

Wald Tests for Effects

Confidence Intervals

Odds Ratios (Nominal Responses Only)

Inverse Prediction

Save Commands

ROC Curve

Lift Curve

Confusion Matrix

Profiler

Validation

Example of a Nominal Logistic Model

Example of an Ordinal Logistic Model

Example of a Quadratic Ordinal Logistic Model

Stacking Counts in Multiple Columns

 

 

Introduction to Logistic Models

Logistic regression fits nominal Y responses to a linear model of X terms. To be more precise, it fits probabilities for the response ...