A 5 Step Checklist For Multiple Linear Regression

Multiple regression analysis is an extension of simple linear regression. It’s useful for describing and making predictions based on linear relationships between predictor variables (ie; independent variables) and a response variable (ie; a dependent variable).

Although multiple regression analysis is simpler than many other types of statistical modeling methods, there are still some crucial steps that must be taken to ensure the validity of the results you obtain.

Author: Lillian Pierson

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s