A hypothesis test of linear regression coefficients with survey data

This paper discusses testing a single hypothesis about linear regression coefficients based on sample survey data. It suggests that when the design-based linearization variance estimator for a regression coefficient is used it should be adjusted to reduce its slight model bias and that a Satterthwaite-like estimation of its effective degrees of freedom be made. A very important special case of this analysis is its application to domain means.