Admission processes at community colleges typically use open door or "first-come, first-served" practices. This type of policy allows all applicants, regardless of prior experience or educational background, to have the same chance of admission into programs. As the number of applications increases, it becomes necessary to investigate predictors that may be used in competitive admissions. This study explores predictors for student success in the imaging programs at Caldwell Community College and Technical Institute, Hudson, North Carolina. Linear regressions were performed using GPA, persistence rates, and certification passage rates as dependent variables representing student success. Independent variables, or predictors, were placement test scores, history of developmental classes, science class scores, and advanced degrees. Historical data of students enrolled in imaging programs during the period of 2000-2004 was used in the regressions. While no correlation was found between persistence and certification rates and the predictors, there were weak associations demonstrated with GPA. Master's Regressions also demonstrated correlations between GPA and persistence rates and GPA and certification rates. It is suggested that selective admissions can influence program success by improving GPA. However, because of the restricted correlations and the possibility of other influences on success, a portion of admissions should always remain on a non-selective basis. (Contains 7 tables and 1 figure.) [Master's Thesis, California College for Health Sciences.]