Housing Price Prediction Based on Multiple Linear Regression

In this paper, the author first analyzes the major factors affecting housing prices with Spearman correlation coefficient, selects significant factors influencing general housing prices, and conducts a combined analysis algorithm. Then, the author establishes a multiple linear regression model for h...

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Autor principal:	Qingqi Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/dfb3b93e9382447980464e8c4798e5dd
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spelling	oai:doaj.org-article:dfb3b93e9382447980464e8c4798e5dd2021-11-08T02:36:32ZHousing Price Prediction Based on Multiple Linear Regression1875-919X10.1155/2021/7678931https://doaj.org/article/dfb3b93e9382447980464e8c4798e5dd2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7678931https://doaj.org/toc/1875-919XIn this paper, the author first analyzes the major factors affecting housing prices with Spearman correlation coefficient, selects significant factors influencing general housing prices, and conducts a combined analysis algorithm. Then, the author establishes a multiple linear regression model for housing price prediction and applies the data set of real estate prices in Boston to test the method. Through the data analysis and test in this paper, it can be summarized that the multiple linear regression model can effectively predict and analyze the housing price to some extent, while the algorithm can still be improved through more advanced machine learning methods.Qingqi ZhangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Qingqi Zhang Housing Price Prediction Based on Multiple Linear Regression
description	In this paper, the author first analyzes the major factors affecting housing prices with Spearman correlation coefficient, selects significant factors influencing general housing prices, and conducts a combined analysis algorithm. Then, the author establishes a multiple linear regression model for housing price prediction and applies the data set of real estate prices in Boston to test the method. Through the data analysis and test in this paper, it can be summarized that the multiple linear regression model can effectively predict and analyze the housing price to some extent, while the algorithm can still be improved through more advanced machine learning methods.
format	article
author	Qingqi Zhang
author_facet	Qingqi Zhang
author_sort	Qingqi Zhang
title	Housing Price Prediction Based on Multiple Linear Regression
title_short	Housing Price Prediction Based on Multiple Linear Regression
title_full	Housing Price Prediction Based on Multiple Linear Regression
title_fullStr	Housing Price Prediction Based on Multiple Linear Regression
title_full_unstemmed	Housing Price Prediction Based on Multiple Linear Regression
title_sort	housing price prediction based on multiple linear regression
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/dfb3b93e9382447980464e8c4798e5dd
work_keys_str_mv	AT qingqizhang housingpricepredictionbasedonmultiplelinearregression
_version_	1718443144322744320

Housing Price Prediction Based on Multiple Linear Regression

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