When measurements on one criterion variable and two or more predictor variables are available for the members of two groups (groups of classes or of individuals, e.g.), the Johnson-Neyman technique (5, 4, 1) may be used to obtain a region of values of the predictor variables for which the null hypothesis of no difference in expected criterion score between the two groups would be rejected.
