Open AccessThe Forecast of Housing Price in Xi’an Based on Big Data Analysis
Author(s) -
Zhiyuan Guo
Publication year - 2020
Publication title -
insight-statistics
Language(s) - English
Resource type - Journals
ISSN - 2661-3115
DOI - 10.18282/i-s.v3i1.353
Subject(s) - linear regression , econometrics , regression analysis , variable (mathematics) , big data , statistics , economics , mathematics , computer science , data mining , mathematical analysis
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.