The article covers three main aspects of using regression analysis: immediate application, near-future analysis, and advanced techniques. In the first part, the focus is on building models using regression and correlation, exploring situations with multiple independent variables and categorical variables. The second part delves into the assumptions and issues typically encountered during regression analysis. Looking ahead, the third part discusses how regression can be applied in nonlinear, logistic, moderator, and mediator analysis, as well as advanced techniques like multilevel and structural equation modeling. These methods provide a robust toolkit for students and researchers to explore relationships and make predictions based on complex data sets.