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Global Encyclopedia of Public Administration, Public Policy, and Governance pp 1–11Cite as

Linear Regression

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Synonyms

Cross-sectional regression; Linearization; Pooling linear regression; Time series regression

The main objective of regression analysis is to develop an equation showing how the variables are linked. The predicted variable is called the dependent variable and is noted by y.

The variables used to forecast the value of the dependent variable are referred to as the independent variables and are designated by x.

Regression is likely the most important tool at the disposal of the econometrician.

Definition of Linear Regression Analysis

Linear regression is used to explore the extent to which a variable or set of variables may predict a dependent variable. In addition, linear regression also provides results in terms of the significance of the predictor variables as well as the magnitude (estimated coefficient value) and sign of relationship (negative or positive estimated coefficient sign).

Linear regression involves describing and assessing the relationship between a given variable...

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References

  • Anderson DR, Sweeney DJ, Williams TA (2010) Essentials of statistics for business and economics, 6th edn. USA: Cengage Learning. ISBN 13: 978-0-538-75458-3; ISBN 10: 0-538-75458-3

    Google Scholar 

  • Books, C (2008) Introductory econometrics for finance (3rd edn). New York: Cambridge University Press

    Google Scholar 

  • Boubonnais R (2009) Econométrie, 7éme edition. Dunod, Paris

    Google Scholar 

  • Lallemand C, Gronier G (2015) Méthodes de design UX: 30 méthodes fondamentales pour concevoir et évaluer les systèmes interactifs. Editions Eyrolles. Paris

    Google Scholar 

  • Makhlouf, F (2017) Regression analysis. Global encyclopedia of public administration, public policy, and governance. Farazmand, A. (Ed.) New York, NY: Springer

    Google Scholar 

  • Wooldridge JM (2009) Introductory econometrics. A modern approach, International student edition, 4th edn. Canada: Cengage Learning. ISBN-10:0-324-78890-8; ISBN-13/978-0-324-78890-7

    Google Scholar 

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Author information

Authors and Affiliations

  1. ESC Pau Business School, Pau, France

    Kamal Kasmaoui

Authors
  1. Kamal Kasmaoui
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Correspondence to Kamal Kasmaoui .

Editor information

Editors and Affiliations

  1. Florida Atlantic University, Boca Raton, FL, USA

    Ali Farazmand

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Kasmaoui, K. (2019). Linear Regression. In: Farazmand, A. (eds) Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer, Cham. https://doi.org/10.1007/978-3-319-31816-5_478-1

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  • DOI: https://doi.org/10.1007/978-3-319-31816-5_478-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31816-5

  • Online ISBN: 978-3-319-31816-5

  • eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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