Prediction of Housing Price in Beijing Based on Linear Regression Model

Authors

  • Donghao Shao

DOI:

https://doi.org/10.54691/bcpbm.v32i.2985

Keywords:

Beijing house price, linear regression, price predict

Abstract

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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Published

2022-11-22

How to Cite

Shao, D. (2022). Prediction of Housing Price in Beijing Based on Linear Regression Model. BCP Business & Management, 32, 492-499. https://doi.org/10.54691/bcpbm.v32i.2985