CAJ | 학술논문

本文采用多元线性回归法在SPSS软件上对云南省近26年来的电力消费量进行了分析，得出了影响电力消费量五项指标的回归模型，并对该模型进行了显著性检验。结果表明，该模型显著性较高，可用于实际预测。应用该模型对历史数据进行拟合，对2011年与2012年的电力消费量进行预测，得出预测值具有85％以上的准确率。
본문채용다원선성회귀법재SPSS연건상대운남성근26년래적전력소비량진행료분석，득출료영향전력소비량오항지표적회귀모형，병대해모형진행료현저성검험。결과표명，해모형현저성교고，가용우실제예측。응용해모형대역사수거진행의합，대2011년여2012년적전력소비량진행예측，득출예측치구유85％이상적준학솔。
This paper uses the multiple linear regression method to analyze the electric power consumption of Yunnan province for 26 years in the SPSS software .The regression model is established for five indicators of power consumption and significance test is implemented on this model .The results show that the model has substantial significance and can be used for practical prediction .The model has been applied in fitting historical data and the fitting effects are very good .The forecast of electric power consumption in 2011 and 2012 has resulted in accuracy over 85%.This model can provide certain reference values for related fields .