Abstract
Given the widespread use of regression methods in the social sciences, the recent concern with regression diagnostics is timely and important. Every diagnosis must be followed by an appropriate data analytic procedure: diagnosis and treatment are complementary and interdependent tasks. We propose a graphical diagnostic procedure for use in ordinary least squares contexts, several data analytic treatments, and illustrate them in an extant data set.
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References
Belsley, D. A., Kuh, E. & Welsch, R. E. (1980). Regression Diagnostics: Identifying Influential Data Points and Collinearities. New York: John Wiley.
Bollen, K. A. & Jackman, R. W. (1985). “Regression diagnostics: An expository treatment of outliers and influential cases”, Sociological Methods and Research 13, 4: (May) 510–542.
Cleveland, W. S. (1979). “Robust locally weighted regression and smoothing scatterplots”, Journal of the American Statistical Association 74: 829–836.
Hoerl, A. & Kennard (1970). “Ridge regression: Biased estimation for non-orthogonal problems”, Technometrics 12: 55–67.
Koopmans, L. (1987). Introduction to Contemporary Statistical Methods. Boston: Duxbury Press.
Neter, J., Wasserman, W. & Kutner, M. H. (1985). Applied Linear Statistical Models. (2nd edn), Homewood, IL: Richard D. Irwin.
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Doreian, P., Hummon, N.P. Regoo plots as a regression diagnostic tool. Qual Quant 24, 213–229 (1990). https://doi.org/10.1007/BF00209552
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DOI: https://doi.org/10.1007/BF00209552