Prediction of Housing Price in Beijing Based on Linear Regression Model


  • Donghao Shao



Beijing house price, linear regression, price predict


With the booming of the economy, more people are willing to have their own house and want to live in Beijing. But the increasing price make people feel confused and hard to do the choice. So this content describe the situation of housing price rise up in Beijing in 20 century by collecting the data and analyze the history and predict through linear regression. This action can help citizen to decide whether they should buy a house and where they are supposed to buy. From the content, the research demonstrates the city center is the most popular place and people want to live the place with the transport. What’s more, the housing price in Beijing will increase in the future. It can help people realize the how the house price system operates and let them to make the correct decision.


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Anjuke,2022.5.11, 2022.9.1.

XinfangSong and ShaoqiangWang 2022.5.7 2022.9.1

Property Price: YTD Avg: Beijing 2020.8.8 2022.9.2

Wikipedia 2022.9.11 2022.9.11

DongMing Chen. 2020.7.11 2022.9.10

Philip Wen October 7,2016 2022.9.10

IORI KAWATE October 14, 2021 05:30 JST 2022.9.11

GlobalPropertyGuide May,27,2022 2022.9.11

ChengjieHe 2010.10 2022.9.11

Yongzhou Hou 2010 March 2022. 9.11

Daniel Raff Susan Wachter 2017.3.7 2022.9.11

Xinhua 2011/02/17 2022.9.11

Aljazeera 18 May 2022 11 Sep 2022,

Iga Akito 2021.3.2 2022.9.11>

Ryan Dong Chen 2013, Vol1 2022.9.11,




How to Cite

Shao, D. (2022). Prediction of Housing Price in Beijing Based on Linear Regression Model. BCP Business & Management, 32, 492–499.