Various realizations have led to less frequent use of the "OVA" methods (analysis of variance--ANOVA--among others) and to more frequent use of general linear model approaches such as regression. However, too few researchers understand all the various coefficients produced in regression. This paper explains these coefficients and their practical use in formulating interpretations of regression results. A small heuristic data set of 20 subjects is used to make the discussion more concrete and accessible. It is argued that sensible interpretation of regression results usually must invoke an examination of both beta weights and structure coefficients. Six tables and two figures illustrate the discussion. Three appendices provide details of the calculations, and there is a 20-item list of references. (Author/SLD)