TITLE:
The Forecast Research of Linear Regression Forecast Model in National Economy
AUTHORS:
Yu Xiao, Zhezhi Jin
KEYWORDS:
Multiple Linear Regression, Gray Model, GM Models, Prediction
JOURNAL NAME:
Open Access Library Journal,
Vol.8 No.8,
August
23,
2021
ABSTRACT: Based on application of Linear Regression Model in national economy. Statistical Yearbook of China is a statistical data book published by China. Some different types of data in China have been documented every year. The dissertation is researching some part of national economy in Statistical Yearbook of China to research the relationship between GNP (gross national product) and various data, and afterwards to establish model to achieve some rationalization suggestions for the future of the National Economy. The basic method for data mining is prediction. The method proposed in this dissertation will use multiple linear regression model combined with Gray Prediction to research to achieve processing information. This dissertation uses forward stepwise regression or backward stepwise regression in multiple linear regression to make specific data model. Afterwards some fuzzy data will be analysed with Gray prediction model. Finally, the combination of the two realizes the data prediction algorithm. The main calculation tools that will be used in this dissertation are SPSS and MATLAB. The prediction results are based on model which is obtained in this dissertation. After comparing the multiple linear regression and the grey prediction model, the researcher found the algorithm of this dissertation is more accurate, thereby verifying the rationality of the prediction model in this dissertation.