Commodity House Price Analysis and Forecast based on Regression Analysis
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DOI: 10.23977/emsshr.2019.194
Corresponding Author
Cheng Xiuli
ABSTRACT
In recent years, the housing price has been one of the most concerned issues for people. This research takes Hainan province (mainly Haikou and Sanya) as an example to analyze the main influencing factors of commodity housing price and predict the commodity housing price in the future.
KEYWORDS
Multiple linear regression, grey correlation analysis, retarded growth, time series prediction, SPSS