基于多元线性回归模型的居民用电量影响因素分析

随着社会和科学的不断进步,人们意识到环境能源对人类发展的重要性,节约能源是其中的一个重要措施。居民用电量与多种因素有关。为了研究各个影响因素对居民用电量影响程度的大小,以蚌埠市为例,首先从影响电量的供给、需求和外部因素角度分别选取了收入、价格、人口、气温及居住面积等五个因素作为分析指标,然后在EVIEWS建立蚌埠市居民用电量与以上5个因素的多元线性回归模型,用以研究各个影响因素对居民用电量的影响程度大小。通过EVIEWS对回归结果的分析得到如下结论:当前影响蚌埠市居民用电量的最主要因素取决于人口数量和人均居住面积,并提出节约用电的相关建议。

Influence Factors on Residents' Consumption Based on Multicariate LineraRegression

Abstract: Along with the advance of society and science, people also realized the importance of environmentalenergy for human development, and energy saving is one of the important measures. Residents consumption isassociated with a variety of factors, in an attempt to study the influencing factors of the degree of affecting factors ofresidents'' consumption. This in Bengbu, for example, first of all, from the factors influencing the power supply,demand and external angles respectively selected the income, price, five factors such as population, temperature andresidential area as indicators of analysis. And then established the Bengbu in EVIEWS residents cope with the abovefive factors of multiple linear regression model, to study the influence of various influence factors on the residents''consumption level size. Through EVIEWS on the results of regression analysis to get the following conclusion:current power consumption is the most important factors affecting Bengbu residents depends on human factors ofpopulation and per capita living space. The last to government departments to conserve electricity relatedsuggestions are put forward