4. Conclusions
The regression analysis and prediction method is a classical and practical forecasting scheme. It is precisely because of its classic, so it is also mature, and it is easier to understand, and more widely used. In the actual use process, if we choose specific methods and models, we can analyze the data in detail, and observe and analyze the scatters, which can also be more detailed and the prediction results will be satisfactory. When the regression prediction method is applied, it is necessary to determine whether there is a correlation between the variables. If there is no correlation between the variables, the regression prediction method of these variables will result in the wrong result. When the regression analysis is applied correctly, we should pay attention to the qualitative analysis of the relationship between the phenomena, avoid the extrapolation of the regression prediction and apply the appropriate data. At the same time, the linear regression prediction method proposed in this paper not only applies to the prediction of aero-material spare parts consumption, but also to other equipment indexes or parameters, which provides a scientific method and means for equipment support forecast.
