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A Note on the Estimation of the Level of Predictive Precision of a Fitted Linear Equation

Published online by Cambridge University Press:  01 January 2025

Jorge L. Mendoza
Jorge L. Mendoza*
Affiliation:
University of Georgia
*
Requests for reprints should be sent to Jorge L. Mendoza, Psychology Department, University of Georgia, Athens, Georgia 30602.
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Abstract

A procedure that utilizes the sample multiple correlation to form a lower bound for the level of predictive precision of a fitted regression equation is suggested. The procedure is shown to yield probability statements which are true at least 100(1−α)% of the time.

Keywords

predictive precisionlinear equation
Type
Notes And Comments
Information
Psychometrika , Volume 42 , Issue 1 , March 1977 , pp. 145 - 147
Copyright
Copyright © 1977 The Psychometric Society

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References

Reference Notes

Claudy, J. G. An empirical investigation of small sample multiple regression and cross-validation. Unpublished doctoral dissertation, University of Tennessee, 1969.Google Scholar
Lord, F. M. Efficiency of prediction when a regression equation from one sample is used in a new sample, 1950, Princeton, New Jersey: Educational Testing Service.CrossRefGoogle Scholar

References

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