A common measure of the uncertainty associated with a numerical estimate, equal to the standard deviation of the associated error. In a regression analysis, standard errors are often reported with (or below) the coefficient estimates. As a rough rule of thumb, one can be 95% confident that the true coefficient is within 2 standard errors of the estimate.