基于SPSS的煤质发热量相关因素分析及其回归模型研究

Correlative factors analysis and regression model research on coal calorific value using SPSS software

使用SPSS统计软件的探索分析和相关分析功能,对某露天煤矿7#煤层的煤质数据进行了统计分析,得出该煤层中干基灰分和可应用基低位发热量两个煤质指标具有很强的负线性相关关系,并使用SPSS统计软件的线性回归功能建立了这两个指标的回归模型。结果表明,该回归模型可以对7#煤层的应用基低位发热量进行预测。

The coal quality data of No.7 coal mine of one open pit mine were analyzed using the Explore and Correlation Analysis functions of SPSS.It was concluded that the coal quality data of the dry ash and the low calorific value have strong negative linear correlation.The linear model of the two indexes was built using the Linear Regression function of SPSS.The results show that the regression model can be used to forecast low calorific value of the coal seam.