Regression analysis

Sotirios Koukoulas

Chapter 38 in Elgar Concise Encyclopedia of Research Methods in the Social Sciences, 2026, pp 270-278 from Edward Elgar Publishing

Abstract: Regression analysis is a statistical modeling technique that is used to examine the relationship between a dependent (response) variable and one or more independent (predictor) variables. The primary objective is to explain the variability of the dependent variable based on the independent variables. If the model displays a strong fit with the data, prediction of the dependent variable is also a research objective. The assessment of model fit is achieved through the utilization of the coefficient of determination (𝑅2 ) and statistical tests concerning the model's coefficients. The most common technique is linear regression; however, there are a variety of extensions based on the assumptions made, the data, and the problem at hand. Regression analysis is a highly versatile analytical tool with applications in various scientific disciplines.

Keywords: Linear Regression; Dependent Variable; Independent Variables; Coefficient Of Determination; 𝑅²; Residuals (search for similar items in EconPapers)
Date: 2026
ISBN: 9781803921297
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