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With the development of the times, people's living standards have improved, and housing prices are constantly rising with the increase of price levels. The overall increase in people's demand for houses and the consideration of more environmental and cultural factors have brought huge challenges to the real estate industry. This paper aims to explore various factors that affect housing prices, including floors, construction time, and the presence of elevators. By comprehensively analyzing factors at multiple levels such as policy, economy, market, and society, we can better understand the fluctuations and trends of housing prices, providing decision-making references for the government, homebuyers, and real estate market participants. This study used various methods, including data analysis, literature review, quantitative and correlation analysis, as well as multiple linear regression analysis, to reveal the main influencing factors on housing prices. The main analysis method is linear regression analysis, which specifically analyzes the linear overlap rate of various factors through previous years' data.
Tunan Bai (Fri,) studied this question.