The Application of Statistical Methods in the Analysis of Factors Affecting Economic Growth

This thesis delves deep into the application of statistical methods in the analysis of factors influencing economic growth. Initially, it elaborates on the research background and significance, highlighting the importance of economic growth research for national development and the crucial role of statistical methods therein. After introducing relevant economic growth theories and the foundation of statistical methods, it meticulously analyzes the application of statistical methods in identifying and dynamically analyzing factors contributing to economic growth. These include regression analysis, factor analysis, cluster analysis, time series analysis, and panel data models. Additionally, it analyzes the limitations of these statistical methods in practical applications and proposes improvement strategies.The research findings indicate that a variety of statistical methods can effectively identify key factors influencing economic growth and their dynamic changing patterns, providing strong support for economic decision-making. This study not only enriches the theories and methods for analyzing economic growth factors but also offers a scientific basis for economic entities such as governments and enterprises to formulate policies and make decisions, thereby holding significant practical implications for promoting the sustainable development of the economy.