What is homoskedasticity in linear regression and how to check it?
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What is homoskedasticity in linear regression and how to check it?

What is homoskedasticity in linear regression and how to check it?

This recipe explains what is homoskedasticity in linear regression and how to check it

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Recipe Objective

What is homoscedasticity in linear regression? How to check it?

Homoskedasticity is a condition in a model where the variance of the residual or error repels to change anymore with the change in predictor variables.

Attaining homoskedasticity in your model is important because it makes model more precised.

How to check homoscedasticity?

We have to plot a graph of residuals versus predicted values, and if the data is time-series type a plot of residuals versus time. Keep an eye on the growth of residuals as a function of time or predicted value. If we find the growth in residuals then homoscedasticity is not achieved.

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