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A Statistical Modeling for Policy Making: A Role of Regression Analysis

A Statistical Modeling for Policy Making: A Role of Regression Analysis

D. K. Ghosh
Copyright: © 2014 |Pages: 27
ISBN13: 9781466651463|ISBN10: 1466651466|EISBN13: 9781466651470
DOI: 10.4018/978-1-4666-5146-3.ch005
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MLA

Ghosh, D. K. "A Statistical Modeling for Policy Making: A Role of Regression Analysis." Governometrics and Technological Innovation for Public Policy Design and Precision, edited by Sangeeta Sharma, et al., IGI Global, 2014, pp. 96-122. https://doi.org/10.4018/978-1-4666-5146-3.ch005

APA

Ghosh, D. K. (2014). A Statistical Modeling for Policy Making: A Role of Regression Analysis. In S. Sharma, P. Nagar, & I. Sodhi (Eds.), Governometrics and Technological Innovation for Public Policy Design and Precision (pp. 96-122). IGI Global. https://doi.org/10.4018/978-1-4666-5146-3.ch005

Chicago

Ghosh, D. K. "A Statistical Modeling for Policy Making: A Role of Regression Analysis." In Governometrics and Technological Innovation for Public Policy Design and Precision, edited by Sangeeta Sharma, Pankaj Nagar, and Inderjeet Singh Sodhi, 96-122. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5146-3.ch005

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Abstract

The concept of regression was first introduced by Sir Francis Galton in the context of inheritance of stature. Karl Pearson found the regression of son’s height on father’s height to be a biometrical fact. Soon the use of regression technique became too common for a variety of problems. The relationship between variables, if it exists, may be linear or curvilinear. In this chapter, a detailed discussion of linear regression is carried out. The regression analysis is an important statistical tool to find the relationship between different variables that can also be applied to the field of governance.

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