Regression Analysis: A Practical Introduction
English | 2026 | ISBN: 1041002599 | 524 Pages | PDF EPUB (True) | 23 MB
English | 2026 | ISBN: 1041002599 | 524 Pages | PDF EPUB (True) | 23 MB
Regression Analysis details the most common sources of statistical biases, including some not covered in other textbooks. Rather than focusing on complicated equations, the book describes these biases visually and with examples of situations in which they could arise. As the author argues, just learning how to conduct regressions without learning how to properly assess and interpret regressions can do more harm than good. Other unique features include an innovative approach to describing the elusive concept of "holding other factors constant" and proper interpretations of the strength of evidence in light of the Bayesian critique of hypothesis testing. This third edition enhances the emphasis on ethical and responsible research practices and creates more examples demonstrating how the biases and their corrections could affect the regression results.