Study on the relationship between coal ash composition and ash whiteness characteristics based on SPSS regression analysis
In order to explore the characteristic relationship between coal ash composition and ash whiteness of Guoneng Group,a correlation analysis was carried out with the help of SPSS statistical analysis software.A multiple linear regression model was established with ash whiteness as the dependent variable and coal ash composition as the independent variable.The results showed that K2 O,Fe2 O3,MnO2 and Al2 O3 in coal ash had a strong correlation with ash whiteness,while P2 O5 had no correlation with ash whiteness,and the established model contained three independent variables,namely Al2 O3,Fe2 O3 and K2 O,which could explain the 94.6% change in whiteness.The model is statistically significant.This study provides a reference for the exploration of the relationship between the whiteness characteristics and ash composition of coal ash.
coal ash compositionash whitenessSPSSmultiple linear regressioncorrelation
万方数据
维普
