Understanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.

Extensions to The Multiple Regression Model
Introduction

The first two chapters present the rudiments of simple and multiple linear regression. Chapter three illustrates how the results from such analysis can be used to test hypotheses. This chapter explores a variety of ways regression analysis is extended beyond the basic models explained in the previous chapters. We begin by illustrating the various types of data that can be and are used in regression analysis. We then introduce and explain so-called dummy variables that are used in many published studies. Another technique that makes regression a powerful analytical tool is the use of various transformations of independent and dependent variables, which allow nonlinear relationships between variables to be studied within ...

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