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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.

Source: data-mania.com
Author: Lillian Pierson

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