Correlation and Regression

Correlation

Correlation for pairs of continuous variables.

JMP features demonstrated:

Analyze > Fit Y by X, Analyze > Multivariate, Methods > Multivariate

Nonparametric Correlations

This page describes how to compute the following nonparametric measures of association in JMP®: Spearman’s Rho, Kendall’s Tau, and Hoeffding’s D.

JMP features demonstrated:

Multivariate Platform

Simple Linear Regression

Model the relationship between two continuous variables.

JMP features demonstrated:

Analyze > Fit Y by X

Multiple Linear Regression

Model the relationship between a continuous response and multiple explanatory variables.

JMP features demonstrated:

Analyze > Fit Model

Simple Logistic Regression

Model the probability of occurrence of an event.

JMP features demonstrated:

Analyze > Fit Y by X

Multiple Logistic Regression

Model the probability of occurrence of an event using more than one explanatory variable.

JMP features demonstrated:

Analyze > Fit Model

Stepwise Regression

Create and compare least-squares or logistic regression models.

JMP features demonstrated:

Analyze > Fit Model > Stepwise Personality

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