Open AccessQuantitative study on factors affecting the price of residential real estate multiple linear regression model
Author(s) -
Faqiang Cui
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012071
Subject(s) - heteroscedasticity , econometrics , linear regression , regression analysis , real estate , revenue , economics , population , statistics , commodity , regression , mathematics , finance , demography , sociology
To study the impact of the “zero threshold” household entry policy on the fluctuation of residential commodity housing prices in Jinan, this paper uses the average sales price data of residential commodity housing in Jinan from 2006 to 2018, selects 6 relevant indicators including the total population at the end of the year, and constructs a multiple linear regression. The model uses Eviews7.2 software, innovatively implies variables such as equivalent sound level, performs stepwise regression analysis, weighted correction regression model correction, and performs statistical tests such as heteroscedasticity and sequence correlation. The results show that the local general public budget expenditure and the average equivalent sound level of roads and environment have a positive impact on prices, while the local general public budget revenue and the total population at the end of the year have a negative impact on prices.