Introduction - If you have any usage issues, please Google them yourself
In regression analysis, if there are two or more independent variables, it is called multiple regression. Indeed, a phenomenon often associated with a plurality of factors, from the optimal combination of a plurality of common variables to predict or estimate a dependent variable, compared with only one independent variable to predict or estimate more effective and practical. Multiple linear regression and therefore the practical significance of a linear regression greater.