摘要
利用6SQ计算机软件建立了5种煤的发热量与水分、灰分间的二元回归方程。各方程的相关系数（R）均在0．9786以上，远远大于临界值（R0.05,2.8=0．217），残差（5）均小于0．136，证明回归方程线性和准确度都很好，利用线性回归方程预测发热量具有较好的实用性。
Binary regression equations between calorific value and moisture and ash contents 6SQ computer software. The correlation coefficients（R） of the equations were all above 0. （R0.05,2.80 = 0. 217）, and the residuals were all less than 0. 136, which proved that both the were very well and that the linear regression equation was useful to predict calorific value. of 5 kinds of coals were established by 978 6, highly above the critical value linear and the accuracy of the equation
出处
《煤质技术》
2011年第C00期37-38,57,共3页
Coal Quality Technology
关键词
水分
灰分
发热量
回归方程
moisture
ash
calorific value
regression equation
