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$begingroup$ In a few literature, I have study that a regression with multiple explanatory variables, if in various models, necessary to be standardized.
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It really is, having said that, frequently advised to standardize. In such a case not for factors right connected to interpretations, but as the penalization will then handle distinctive explanatory variables on a far more equivalent footing. $endgroup$
But formal speculation tests of normality You should not reply the ideal concern, and lead to your other techniques which might be carried out conditional on no matter if you reject normality to not have their nominal Qualities. $endgroup$
When conducting several regression, when must you Middle your predictor variables & when must you standardize them?
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$begingroup$ Together with the remarks in the other solutions, I might prefer to indicate that the scale and placement with the explanatory variables doesn't have an impact on the validity
addresses this probable difficulty. For a fuller clarification, see this superb solution from @Affine: Collinearity diagnostics problematic only if the conversation term is involved. Share home Cite
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