Research on Housing Price in Boston

Authors

  • Zhiheng Ma
  • Tan Wang
  • YuBo Zhang

DOI:

https://doi.org/10.56028/aemr.2.1.71

Keywords:

regression analysis, frequency, numerical analysis, orthogonal fitting

Abstract

In the United States, due to the characteristics of sparsely populated areas, its housing prices are not quite the same as those in China. At the same time, due to factors such as the freedom of firearms in the United States, many people consider more factors in purchasing houses, resulting in great differences in housing prices in the United States. The housing price problem has also become a major concern.

This paper first analyzes fourteen variables, respectively, thirteen independent variables were analyzed to find the relationship between independent variables and housing prices, establish regression model analysis, and then through the frequency histogram to find the relationship between independent variables and frequency, through the relationship between frequency and housing prices to illustrate the relationship between independent variables and housing prices. By analyzing the correlation to find out the relationship between the variables and housing prices.

Through the statistical description and analysis model of data, we can establish the normal distribution relationship between independent variables and dependent variables, and approximate the normal distribution parameters through the average and variance of independent variables. The relationship between each independent variable and dependent variable is fitted, and the influence of each variable on housing prices is finally obtained.

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Published

2022-09-21