The article discusses different statistical methods to analyze relationships among attributes. It covers linear regression, least squares method, regression analysis results, multiple regression, predictor variable selection, t-test, anova, logistic regression, and more. The researchers explain how to interpret regression analysis results, estimate logistic regression models, and validate models using the ROC curve. Key findings include the importance of regression diagnostics, interpreting regression coefficients and odds ratios, and applying logistic regression in various scenarios like the Cox proportional hazards model.