Prediction and analysis of aero-material consumption based on multivariate linear regression model

Abstract

Multivariate linear regression model has been widely used in society, economy, technology and science research. In this paper, the mathematic model and calculation method of multivariate linear regression model are introduced. The model test and interval estimation method of multivariate linear regression model is discussed. Aiming at the prediction of aero-material consumption, a multivariate linear regression prediction model of aviation material consumption was constructed by collecting the data of three basic monitoring indicators of aircraft tire consumption from 2001 to 2016. Based on the analysis of the examples, the model was tested and optimized by goodness of fit test, F-test, t-test and residual analysis, finally an accurate and reliable multivariate linear regression model was given. The results show that the linear regression model is feasible and effective for the prediction of aero-material spare parts consumption. The research results provide a realistic and scientific method for forecasting aero-material consumption.