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The Acceptability of Regression Solutions: Another Look at Computational Accuracy

Beaton, Albert E.; Rubin, Donald B.; Barone, John L.
Publication Year:
Report Number:
ETS Research Bulletin
Document Type:
Page Count:
Subject/Key Words:
Computer Software, Longley, J.W., Mathematical Models, Measurement Techniques, Multiple Regression Analysis


Longley proposed a set of data for use in testing regression programs. This paper shows that the numerically accurate solution is likely to be an unreasonable estimate of the regression coefficients for this problem. This is true because the accuracy of the data and appropriateness of the model may affect the solution more than the computational method. An easily computed index is derived that can be used to indicate such computational instability. The basic conclusion is that a concern about highly accurate computational methods must be tempered with a concern for whether the data are accurate enough to make the results of such computation meaningful. (Author) (43pp.)

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