Multivariable linear regression of the correlation between calorific value and moisture and ash content of coal

Calorific value is a basic indicator in coal quality evaluation and thermal calculation. The paper collects data of moisture, ash yield, volatile component and calorific value of coal in different regions and builds multivariable linear regression model between calorific value and moisture content and ash yield. The result shows that with the increasing of volatile component, the influence of moisture on calorific value increased while the influence of ash yield decreased. In order to inspect the accuracy of the model, the calorific value of coal in other regions is calculated and compared with the measured value. The model has high feasibility for the prediction of calorific value in different regions.