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The Forecast of Housing Price in Xi’an Based on Big Data Analysis

Zhiyuan Guo

Abstract


Based on the statistical data, the forecast for housing price of Xi’an city is made by identifying 13 different kinds of indicators. The multi-variable regression model and SPSS are used to analyze the data in linear and non-linear way respectively. R2 for both methods are over than 0.9. So we can get the similar conclusion that housing price in Xi’an will not increase dramatically recently and keep stable.


Keywords


Housing Price; Forecast; Big Data

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References


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DOI: https://doi.org/10.18282/i-s.v3i1.353

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