REGRX: A Computerized Stepwise Regression Algorithm with Residual Analysis.
AIR FORCE HUMAN RESOURCES LAB BROOKS AFB TX
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Regression analysis programs are commonly used to develop prediction systems for Air Force personnel research, e.g., a system for accurately predicting future job performance of enlisted individuals based on information obtained during their Air Force careers. This information might include such predictor variables as aptitude or ability test scores, biographical data, and physical attributes. Requirements for the development of such prediction systems within the technical programs of the Air Force Human Resources Laboratory AFHRL are numerous. REGRX, a stepwise regression algorithm with residual analysis, functions as a subroutine in the computer-based TRICOR utility correlation and regression system. The comprehensive statisticalmathematical methodology comprising REGRX has served as a powerful tool in the development of Air Force prediction systems. This paper contains the technical details that are necessary for the user to take complete advantage of the analytical capabilities of REGRX. This information includes an in-depth discussion of the REGRX mathematicalstatistical methodology with associated computational formulas and printed output samples. Therefore, this document aids researchers in executing and interpreting the results of the REGRX subroutine. Author
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- Computer Programming and Software