Classical multiple regression was compared with Bayesian m-group regression, complete with cross-validation. The setting was a post-developmental studies situation in a comprehensive community college. A secondary purpose of the study was to incorporate an advisor prediction of grade point average (GPA) as input into both regression procedures. The reliability and predictive validity of the advisor predictions were both investigated. One major strength of the study was the inclusion of variables measuring progress during developmental studies. Predictions based solely on data available prior to developmental studies would invariably predict failure because it is those variables which suggested a need for developmental studies in the first place. A second major strength of this study was the inclusion of an advisor prediction as a variable in both regression methods. This inclusion maintained comparability between methods while allowing the inclusion of both "hard" and "soft" data. The criterion variable in the study was first-quarter GPA in the student's chosen curriculum, after the student had completed developmental studies. (Author/CTM)