On the Relationship of Sample Size and Moments of Estimators in Simple Linear Regression

Abstract

Methods are developed for determining minimum sample size in simple linear regression (when residuals are nonnormal) that permit use of the classical normality-based analyses. The methods are based on behavior of standardized third and fourth moments of regression estimators. The case of symmetric independent variable values with one observation at each is considered. All other regression assumptions are assumed to be true.