基于多元回归分析的成品钢材需求量影响因素实证分析  

Empirical Analysis of Influencing Factors of Finished Steel Demand Based on Multiple Regression Analysis

作　　者：严玮 

机构地区：[1]华南师范大学数学科学学院,广东 广州

出　　处：《统计学与应用》2023年第2期543-549,共7页Statistical and Application

摘　　要：本文引入了中国统计年鉴的2000~2021年各年份的我国钢材需求量、原油产量、生铁产量、原煤产量、发电量、铁路货运量、固定资产投资额、居民消费、政府消费、GDP、工业增加值11个不同的量来进行回归分析。通过建立回归模型充分说明成品钢材需求量与其他10个变量的关系,建立了多个回归模型,再选择相对最优模型,最后通过所建立的最优模型分析影响成品钢材需求量的因素。In this paper, 11 different quantities of China’s steel demand, crude oil output, pig iron output, raw coal output, power generation, railway freight volume, fixed asset investment, resident consumption, government consumption, GDP and industrial added value from 2000 to 2021 are introduced in the China Statistical Yearbook for regression analysis. By establishing a regression model to fully explain the relationship between finished steel demand and other 10 variables, a number of regression models are established, and then the relative optimal model is selected. Finally, through the established optimal model it analyzes the factors affecting the finished steel demand.

关 键 词：多元线性回归 成品钢材 多元加权最小二乘估计 异方差性 多重共线性 

分 类 号：F42[经济管理—产业经济]