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