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.
It is likely that you have thought about a variety of relationships between different variables. For example, on a personal level you might have wondered whether studying an additional hour will lead to a substantially better score on an upcoming exam. Or, will getting additional experience in a nonpaid internship increase the likelihood of obtaining a full-time position in an organization you wish to work for. Or, if you go to the gym an additional hour each week, will this lead to a substantial weight loss.
Relationships between variables are also at the heart of many academic disciplines. Political scientists may focus on the possible link between contributions to political leaders and decisions those leaders ...