Abstract
The average regression alpha-quantile, standardized with the regression parameter, is shown being asymptotically equivalent to the alpha-quantile of models errors, under general conditions on the model. This result, which remains true under a local heteroscedasticity of model errors, has many applications in the inference based on observations, affected by a linear regression.