The attached study answers three questions:
- Does it make a difference whether you standardize your variables before running your regression model or standardize the regression coefficients after you run your model?
- Does the scale of the respective original non-standardized variables affect the resulting standardized coefficients?
- Does using non-standardized variables vs. standardized variables have an impact when conducting regularization?
The study uncovers the following answers to those three questions:
- It makes no difference whether you standardize your variables first or instead standardize your regression coefficients afterwards.
- The scale of the original non-standardized variables does not make any difference.
- Using non-standardized variables when conducting regularization (Ridge Regression, LASSO) does not work at all. In such a situation (regularization) you have to use standardized variables.
To check out the complete study (very short just 7 slides) go to the following link.
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