Establishment of Guangdong Province's GDP model based on multiple linear regression
WU Shi-ping
ZHANG Jia-ming
ZHU Hai-dong
Abstract：Based on the statistical data of Guangdong Province from 2006 to 2015, the data of three selected influencing factors were analyzed by SAS software. Based on the analysis of the factors influencing the regional GDP, the multi-regression model was used to construct the multivariate regression model. The conclusion is that the biggest contributor to the GDP of Guangdong Province is the value added of real estate, followed by the added value of the secondary industry and the least affected by the number of foreign invested enterprises. The regression equation of regional GDP and added value of secondary industry, foreign invested enterprises and real estate added value is: y=-3 409.001 62 + 1.115 92x1+ 0.062 09x2+ 6.470 04x3. While ensuring the steady development of the real estate industry and the secondary industry, it is necessary to formulate a policy that is conducive to foreign investment in Guangdong and attract foreign investment to ensure that the economic structure of Guangdong province tends to improve.
Keywords：multiple linear regressiongross domestic productSAS
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 27-30 )