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Regression Analysis

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  • First Online:
Global Encyclopedia of Public Administration, Public Policy, and Governance

Synonyms

Cross-sectional data regression; Linear regression; Multiple regression; Panel data regression; Simple regression; Time series regression

Definition

Regression analysis refers to methods, techniques, and processes for studying the relationship between a dependent variable and the explanatory variables.

Introduction: What Is Regression Analysis?

Financial, managerial, marketing, and economic decisions are usually established based on the relationship between two or more variables. Regression analysis can be used to show how these variables relate to each other. Regression analysis can also be used to improve understanding the phenomenon, test theories in social sciences, and investigate hypotheses. Regression analysis is an essential research tool in social sciences. It can be classified into two fields: micro-econometric and macro-econometric. Micro-econometric is applied to individual data, whereas macro-econometric is applied to aggregate data. The variable being predicted...

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References

  • Anderson DR, Sweeney DJ, Williams TA (2014) Essentials of statistics for business and economics, 6 edn. ISBN 13: 978-0-538-75458-3; ISBN 10: 0-538-75458-3

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Author information

Authors and Affiliations

  1. Finance, Pau Business School, Pau, France

    Farid Makhlouf

Authors
  1. Farid Makhlouf
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Corresponding author

Correspondence to Farid Makhlouf .

Editor information

Editors and Affiliations

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

    Ali Farazmand

Appendix

Appendix

Code used in “R” for the multiple regression in section “Estimation in Regression Analysis”

***Generating data***

X<−1:5

Z<−c(2,4,3,6,5)

y<−c(4,3,7,8,11)

***Estimation the model y = alpha0 + alpha1 X + alpha2 Z***

Regression<−lm(y ~ X + Z)

Summary (Regression)

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Makhlouf, F. (2017). Regression Analysis. 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_476-1

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  • DOI: https://doi.org/10.1007/978-3-319-31816-5_476-1

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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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