Regression analysis is a commonly used method in economic forecasting. This work takes the study of reasons for GDP per Capita growth of China as an example:

The relevant data was collected and ammended from the National Bureau of Statistics, available at: https://data.stats.gov.cn/. After constructing a linear regression model, F-test, normality-test and heteroskedasticity-test are done using R.

From the three variables that remained, it can be inferred that moderately positive fiscal policy has boosted China's per capita GDP growth. With the population dividend dwindling, economic transformation and industrial upgrading are imperative.