摘要
煤炭是我国的主要能源,我国经济飞速发展离不开煤炭资源的大量消费。收集近15年的统计数据,基于SPSS多元线性回归分析,建立多元线性回归模型并对模型进行检验修正。该模型避免了复杂的推导过程,有较高的准确度。根据预测模型得出了影响煤炭消费量的主要因素以及未来变化趋势。
Coal is the main source of energy in China. The rapid development of China＇s economy is inseparable from the large consumption of coal resources. Collecting the statistical data of the past 16 years,based on SPSS multiple linear regression analysis,a multivariate linear regression model is established and the model is checked and corrected. The complex derivation process is avoided and the accuracy is high. According to the model,the main factors that affect coal consumption and the future trend of change are obtained.
作者
刘健
程根银
LIU Jian;CHENG Genyin(North China Institute of Science and Technology,Yanjiao,065201,China)
出处
《华北科技学院学报》
2018年第3期108-112,共5页
Journal of North China Institute of Science and Technology
