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  4. Commodity House Price Analysis and Forecast based on Regression Analysis

Commodity House Price Analysis and Forecast based on Regression Analysis

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DOI: 10.23977/emsshr.2019.194

Author(s)

Cheng Xiuli

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

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