An assumption underlying multiple linear regression is that the standard error of measurement is equal for all observations. The literature has not addressed the procedures to be used when this assumption is violated. It was clear that data analysis to be performed on districts in California would severely violate this assumption, since district mean scores were to be the criterion, and districts vary tremendously in size. The statistical techniques that were developed to conduct these analyses are described. (Author)