Research on Data Analysis Method Based on Multiple Linear Regression Model and Grey Model

In scientific research, it is sometimes necessary to analyse and forecast data and other tasks related to data processing. This paper explores and investigates data analysis methods based on actual transaction data as well as public information from official government websites, using commodity prices as an example, and combining various methods and models. The correlation coefficient analysis method was used to identify the significant factors among the various influencing factors. Multiple linear regression model was used to quantify the influence coefficients of each influencing factor. Using a grey system model, the data were predicted and compared with the actual data to verify accuracy. The results show that the grey system model predicts well for the prices of specific commodities.