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Luftig, Jeffrey T.; Norton, Willis P. – Journal of Epsilon Pi Tau, 1981
This article examines simple and multiple regression analysis as forecasting tools, and details the process by which multiple regression analysis may be used to increase the accuracy of the technology forecast. (CT)
Descriptors: Computer Programs, Data Analysis, Multiple Regression Analysis, Prediction
Williams, John D.; Lindem, Alfred C. – 1974
Four computer programs using the general purpose multiple linear regression program have been developed. Setwise regression analysis is a stepwise procedure for sets of variables; there will be as many steps as there are sets. Covarmlt allows a solution to the analysis of covariance design with multiple covariates. A third program has three…
Descriptors: Analysis of Covariance, Analysis of Variance, Computer Programs, Multiple Regression Analysis
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Gould, R. Bruce; Christal, Raymond E. – 1976
The absence of suitable external criteria is a recurrent problem for test, battery, and inventory developers in selecting items or tests for inclusion in final operational instruments. This report presents a computing algorithm developed for use when no adequate external selection criterion is available. The algorithm uses a multiple linear…
Descriptors: Algorithms, Computer Programs, Criteria, Item Banks
Beaton, Albert E., Jr. – 1973
Commonality analysis is an attempt to understand the relative predictive power of the regressor variables, both individually and in combination. The squared multiple correlation is broken up into elements assigned to each individual regressor and to each possible combination of regressors. The elements have the property that the appropriate sums…
Descriptors: Algorithms, Computer Programs, Correlation, Data Analysis