You don't need normality for regression. You may need it for certain
optimality properties to hold, but you can apply OLS without normality.

On 1 Mar 2002, Alex Yu wrote:

>
> I know that robust regression can downweight outliers. Should someone
> apply robust regression when the data have skewed distributions but do not
> have outliers? Regression assumptions require normality of residuals, but
> not the normality of raw scores. So does it help at all to use robust
> regression in this situation. Any help will be appreciated.
>
>
>
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