Linear regression is one of the most widely used analytical tools in quantitative research. However, the validity of regression results depends on several underlying assumptions. These assumptions are not technical formalities; they determine whether coefficient estimates, standard errors, and statistical tests can be interpreted reliably. This article presents a complete conceptual framework of the assumptions…