Abstract
Tests for comparing the strength of association between a variable, X 1, and each of two potential predictor variables, X 2 and X 3, are proposed and examined in a simulation study. The variances of X 2 and X 3 and the correlation between X 2 and X 3 are nuisance parameters. A simple modification of a test proposed by Williams (1959) is found to have reasonable properties for a wide range of parameter values and both normal and nonnormal distributions.
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