Multiple regression analysis of factors related to success in the Oklahoma State University Master of Business Administration program

Abstract

Scope and Method of Study: Information concerning academic and personal background was obtained from the records of ninety-seven individuals who have completed or are presently enrolled in the Oklahoma State University Master of Business Administration program. Using grade point average in the NPA program as the dependent variable, a regression analysis was performed with undergraduate grades, admission test scores, and certain other factors as the independent variables. The multiple regression technique was employed to determine the correlation of the various factors with success in the program. The purpose of the study was to determine which characteristics of an individual are most highly correlated with success in the MBA program at Oklahoma State University. By obtaining such relationships, a more accurate prediction of an applicant's performance can be made. This in turn could lead to more definite standards for evaluating applicants.

Findings and Conclusions: The data analysis in this study indicate that the factor most highly correlated with success in the OSU MBA program is the number of mathematics and statistics grade points accumulated by an individual. Also significantly correlated were undergraduate grade average, Admission Test for Graduate Study that by combining several factors a very accurate prediction of grade average in the MBA program could be obtained. One conclusion from the study is that the technique of multiple regression analysis is applicable and useful in determining the relationships of various factors with success, as defined by grade point average. A second conclusion is that a systematic approach, involving a multiple regression equation, to the prediction of grades can be successfully employed.