The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Regression and Correlation Analysis

  • D. V. Lindley
Reference work entry
DOI: https://doi.org/10.1057/978-1-349-95189-5_1873

Abstract

Correlation is a tool for understanding the relationship between two quantities. Regression considers how one quantity is influenced by another. In correlation analysis the two quantities are considered symmetrically: in regression analysis one is supposed dependent on the other, in an unsymmetric way. Extensions to sets of quantities are important.

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Bibliography

  1. Efron, B., and C. Morris. 1975. Data analysis using Stein’s estimator and its generalizations. Journal of the American Statistical Association 70: 311–319.CrossRefGoogle Scholar
  2. Hoerl, A.E., and R.W. Kennard. 1970. Ridge regression: Biased estimation of non-orthogonal problems. Technometrics 12: 55–67.CrossRefGoogle Scholar
  3. Seber, G.A.F. 1977. Linear regression analysis. New York: Wiley.Google Scholar
  4. Vinod, H.D., and A. Ullah. 1981. Recent advances in regression methods. New York: Dekker.Google Scholar
  5. Zellner, A. 1971. An Introduction to Bayesian inference in econometrics. New York: Wiley.Google Scholar

Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • D. V. Lindley
    • 1
  1. 1.