摘 要许多现象往往不是简单的与某一因素有关而是要受多个因素的影响，此时就需要用两个或两个以上的影响因素作为自变量来解释因变量的变化，这就是多元回归亦称多重回归。当多个自变量与因变量之间是线性关系时，所进行的回归分析就是多元性回归。本文的讨论主要从四个部分来进行。第一章从基础容和讨论对象着手，对主要讨论容进行了简单的阐述。第二章对多元线性回归的基础进行了详细分析。第三章介绍了中国经济的现状。最后通过多元线性回归模型对我国工业生产总值进行了分析。总的来说，本文在 2024 年全国各省市主要工业产品的产量与工业总产值的具体数据下，选用塑料、水泥、钢筋、平板玻璃、粗钢、盘条以与原煤等工业产品的产量作为讨论对象，建立多元线性回归模型，并对模型做出参数估量 .在此基础上对模型做出一定的解释，对于预测工业总产值具有一定的理论指导和现实意义。关键词：多元线性回归模型 工业生产总值 假设检验 预测Abstract Many phenomena are often not simply associated with a number of factors but with varieties. At this point we need to use two or more factors as independent variables to explain changes in the dependent variable. This is also known as multiple regression. When more than one independent variable and the dependent variable are linear relationship, the regression analysis is carried out by diversity regression.The main research work of this thesis is divided into four parts. In the first chapter, the thesis proceed from the basic content and object of study and elaborate main content simply. In the second chapter, multiple linear regression model is analyzed detail. In the third chapter, the thesis introduces status quo of china. And at last, gross industrial production is analyzed by multiple linear regression model in this article.Over all, this article use the specific data of the output of major industrial products and industrial output in nationwide provinces in 2024, and select the output of plastics, cement, steel, plat...
