# JMP 학습 라이브러리

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## 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