Abstract: In this paper an empirical likelihood resampling is proposed for bootstrapping studentizedleast square estimation in linear regression models. It is proved that our method captures ageneral s-2 term Edgeworth expansion and achieves a second order accuracy, furthermore, ithas smaller loss than the classical one in most cases.