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Assumptions of Linear Regression

When is autocorrelation testing performed in linear regression analysis?

By Kanda Data / Date Apr 24.2024

In regression analysis, researchers must ensure that the constructed model meets several required assumptions. One assumption in ordinary least square linear regression is the absence of autocorrelation in the model’s residuals. Autocorrelation occurs when there is a correlation pattern among the residual values in the regression model.

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