Simple Tests to Compare Two Dependent Regression Lines

Simple significance tests for comparing two regression lines estimated from correlated samples are given. Hypotheses of parallelism and concurrence lead to F tests on linear combinations of the parameters of a new regression line constructed by taking the appropriate differences of the original responses. The proposed method provides exact tests as compared to the previous method by Zellner. An application concerning glucose tolerance is given.