Multiple Linear Regression Analysis Based on STATA of the Impact of R&D Expenditure on Future Earnings
This work is supported by Hebei Province culture, Art Science and Tourism Research Project (HB22-YB096).
Analysis of business environment configuration of high-resilience market entities in Hebei Province.
By collecting financial big data from the Wind database, this paper takes the panel data of listed companies on the SME Board and GEM Board of Shenzhen Market from 2011 to 2020 as samples, uses the multiple linear regression method to construct a model for empirical analysis, and observes the relationship between multiple linear regression to explore the impact of R&D expenditure on future earnings. The results show that: (1) R&D expenditure positively correlates with future earnings. R&D expenditure has a positive impact on future income level. (2) The correlation between R&D expenditure and future earnings has decreased significantly over time. The impact has weakened with time, which means that the R&D income of listed companies in Shenzhen has shown a downward trend in recent years.
