线性回归方法在北京市居民消费水平影响因素分析中的应用
Application of Linear Regression Method in the Analysis of Influencing Factors of Beijing Residents’ Consumption Level

本文应用线性回归方法探讨北京市居民消费水平的影响因素，通过收集北京市各类数据，建立多元线性回归模型进行分析，识别出对北京市居民消费水平具有显著影响的核心因素。结果表明，北京市居民消费水平与人均可支配收入(元)以及旅游业国内旅游收入(亿元)密切相关。同时，本文收集到了不同时间段内的影响因素的数据进行分析，揭示了北京市近年来的居民消费水平发展趋势。通过本文可以更好地认识到北京市经济发展的未来走向，分析了其相关性和复共线性可以为政府和国家单位提供理论支撑。
In this paper, the linear regression method is applied to explore the factors affecting the consumption level of Beijing residents. Through collecting all kinds of data in Beijing, a multiple linear regression model is established for analysis, and the core factors that have a significant impact on the consumption level of Beijing residents are identified. The results show that the consumption level of Beijing residents is closely related to the per capita disposable income (RMB) and the domestic tourism income (RMB 100 million). At the same time, this paper collected the data of influencing factors in different time periods for analysis, revealing the development trend of Beijing residents’ consumption level in recent years. Through this paper, we can better understand the future trend of Beijing’s economic development, and analyze its correlation and complex collinearity, which can provide theoretical support for the government and national units.