How to Choose Between Regression and Correlation

When investigating the relationship between two or more numeric variables, it is important to know the difference between correlation and regression.

Regression is primarily used to build models/equations to predict a key response, Y, from a set of predictor (X) variables. Correlation is primarily used to quickly and concisely summarize the direction and strength of the relationships between a set of 2 or more numeric variables.

This video is part of the How to Choose the Right Statistical Analysis Test course in Prism Academy. Learn more about Prism Academy: https://www.graphpad.com/prism-academy/

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