The weighted least squares method using 1/x2as a weighting factor is described and compared with conventional ordinary and weighted least squares and robust regression. Applications of these different methods to the relevant data sets demonstrates that the performance of the procedure discussed in this paper exceeds that of ordinary least squares method and equals, and often exceeds, that of weighted or robust methods.