Study on the Influence Factors of Real Estate Price Based on Regression Model — The Case of Jilin City

Abstract:

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.

• Periodical: Applied Mechanics and Materials (Volumes 117-119)
• Pages: 1547-1551
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.117-119.1547
• Online since: October 2011
• Authors: Xi Li Tan, Han Zhou, Ying Song Xu
• Keywords: Economic Factors, Jilin City Real Estate Price, Multiple Linear Regression Model, SPSS Software

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