The article "Regression Analysis by Example" covers different types of regression analysis methods, including simple linear regression and multiple linear regression. It also discusses how to detect model violations, use qualitative variables as predictors, and handle correlated errors in data. The researchers explore techniques like weighted least squares and variable selection procedures. The study highlights the importance of transforming variables and addresses the issue of biased estimation of regression coefficients. Additionally, the article delves into logistic regression and provides an appendix, references, and an index for further reading and understanding.