A Note on the Estimation of the Level of Predictive Precision of a Fitted Linear Equation
- 1 March 1977
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 42 (1) , 145-147
- https://doi.org/10.1007/bf02293751
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
This publication has 5 references indexed in Scilit:
- A Cross-Validation Approach to Sample Size Determination for Regression ModelsJournal of the American Statistical Association, 1974
- Prediction in Future Samples Studied in Terms of the Gain from SelectionPsychometrika, 1973
- Multiple regression in psychological research and practice.Psychological Bulletin, 1968
- Tables for Constructing Confidence Limits on the Multiple Correlation CoefficientJournal of the American Statistical Association, 1963
- EFFICIENCY OF PREDICTION WHEN A REGRESSION EQUATION FROM ONE SAMPLE IS USED IN A NEW SAMPLEETS Research Bulletin Series, 1950