说明：  　在回归分析中，如果有两个或两个以上的自变量，就称为多元回归。事实上，一种现象常常是与多个因素相联系的，由多个自变量的最优组合共同来预测或估计因变量，比只用一个自变量进行预测或估计更有效，更符合实际。因此多元线性回归比一元线性回归的实用意义更大。
(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.)