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Academic Journal of Business & Management, 2022, 4(3); doi: 10.25236/AJBM.2022.040315.

Analysis of Commodity Housing Price in Shanghai Based on Multiple Linear Regression Model


Xinyu Shen

Corresponding Author:
Xinyu Shen

University of Shanghai for Science and Technology, Shanghai, China


As Shanghai is committed to building a vibrant, thriving home for all residents, the pursuit of a high quality of life is correspondingly strengthening. In particular, housing has probably become an important indicator to measure the quality of people's lives and the house price is the key to the housing problem. This article analyses the annual date of the commodity house prices in Shanghai from 2001 to 2020 and aims to explore the affecting factors of commodity housing price, which include the number of ordinary high schools, medical and health institutions and cultural institutions in Shanghai, urban green coverage and residents' disposable income. Therefore, a multiple linear regression model of commodity house price has been established and successfully underwent the test of multicollinearity, heteroscedasticity and sequence correlation.


House Price; Multiple Linear Model; Impact Factor

Cite This Paper

Xinyu Shen. Analysis of Commodity Housing Price in Shanghai Based on Multiple Linear Regression Model. Academic Journal of Business & Management (2022) Vol. 4, Issue 3: 83-86. https://doi.org/10.25236/AJBM.2022.040315.


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