Applied Regression Analysis

Regression analysis is a powerful tool for understanding the statistical relationship between any two variables. This has a multitude of applications in the real world, for example it can be used to examine the connection between performance and pay for the players in Premier League, between R&D expenditure and revenue for a sample of firms in the service industry, between the quality of red wines and the price of red wines for the Bordeaux region, the total hours of exercise per week and self-assessed health for a sample of pregnant women, or between number of days spent at a travel destination and total trip expenditures for a number households. Clearly this tool has many uses across industries, sectors and subject areas.

This book is an introduction to regression analysis which focuses on the practical aspects of conducting regression analysis and the real-world applications of this tool. To be accessible to students from across the social sciences, the text uses as little maths as possible and focuses instead on intuition and worked examples. Using Stata throughout, the book also encourages students to replicate the analyses throughout the book and practice using the tools and techniques for themselves. Readers are also taught about the proper interpretation and communication of regression results - whether through a bachelor's thesis, a master's thesis or a scholarly journal article.