Modeling for Regressing Variables

Journal of Statistical and Econometric Methods, Vol.1, No. 2, pp. 1-8, 2012

8 Pages Posted: 1 Aug 2012

See all articles by Shahryar Sorooshian

Shahryar Sorooshian

University of Malaya (UM)

Alireza Anvari

affiliation not provided to SSRN

Norzima Zulkifli

University Putra Malaysia - Department of Mechanical and Manufacturing Engineering

Date Written: August 1, 2012

Abstract

Regression modeling is an approach to modeling the relationship between endogenous and one or more explanatory exogenous variables. This paper reviews the bias of this modeling, as well as history, purpose, assumptions, and steps. Then the paper follows with Classification of regression analysis in to 8 classes. Specifically, linear and non linear regression is discussed by details. We end the paper with application of regression modeling. We find this paper as a statistical modeling guide for scholars.

Keywords: statistical modeling, linear regression, non linear regression

Suggested Citation

Sorooshian, Shahryar and Anvari, Alireza and Zulkifli, Norzima, Modeling for Regressing Variables (August 1, 2012). Journal of Statistical and Econometric Methods, Vol.1, No. 2, pp. 1-8, 2012, Available at SSRN: https://ssrn.com/abstract=2121129

Shahryar Sorooshian (Contact Author)

University of Malaya (UM) ( email )

Kuala Lumpur, Wilayah Persekutuan 50603
University of Malaya (UM)
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Alireza Anvari

affiliation not provided to SSRN

Norzima Zulkifli

University Putra Malaysia - Department of Mechanical and Manufacturing Engineering

Serdang, Selangor
Malaysia

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