In regression analysis, if there are two or more independent variables, it is called multiple regression.

In fact, a phenomenon is often associated with many factors. It is more effective and practical to predict or estimate the dependent variable through the optimal combination of multiple independent variables than to predict or estimate only one independent variable.

Therefore, multivariate linear regression is more practical than univariate linear regression.