Multiple Linear Regression Analysis of the Relationship between the Three Industries and GDP Growth

Abstract

This essay employs the econometric method of multiple linear regression model based on the quarterly data from 2000 to 2019 in China, to make an analysis of the relationship between the growth rate of three industries and GDP and the effects of adjustments of the industrial structure on economic development. The result shows that there is a statistically significant correlation between the growth rate of three industries and GDP. Specifically, the secondary industry has the most significant influence on China's economy for this period, the primary industry has the least, and the service industry's impact is somewhere in between which has become increasingly crucial.