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Regression and Correlation Analysis

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Time Series and Statistics

Part of the book series: The New Palgrave ((NPA))

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

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Authors

Editor information

John Eatwell Murray Milgate Peter Newman

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© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited

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Lindley, D.V. (1990). Regression and Correlation Analysis. In: Eatwell, J., Milgate, M., Newman, P. (eds) Time Series and Statistics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20865-4_30

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  • DOI: https://doi.org/10.1007/978-1-349-20865-4_30

  • Publisher Name: Palgrave Macmillan, London

  • Print ISBN: 978-0-333-49551-3

  • Online ISBN: 978-1-349-20865-4

  • eBook Packages: Palgrave History CollectionHistory (R0)

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