The accuracy of Burr approximations of critical values and p-values is evaluated for the usual tests of the general linear regression model. These include tests for coefficients and autocorrelation and heteroscedasticity, based both on standard distributions and those for which the distribution is unknown. The results suggest that the Burr approximations are reasonably accurate and should prove useful both in applied research and in teaching.