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A Study to Develop Useful Regression Models for Predicting Performance at the School of Systems and Logistics Graduate Education Division with Emphasis on the Quantitative Courses.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF SYSTEMS AND LOGISTICS
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The implications of the report are that a knowledge of quantitative areas is becoming increasingly more important in the logistics career fields. Therefore the study has emphasized predicting academic performance in quantitative courses in graduate logistics. It was expected that a useful model of this type, in conjunction with the other models, would find practical application in the future by making possible the identification of those applicants with the greatest probability of success.
APPROVED FOR PUBLIC RELEASE