Finance

Regression analysis

Test set

Test (biology)

Mathematics

Regression

Biology

Statistics

Machine learning

Econometrics

Paleontology

Artificial intelligence

Economics

Set (abstract data type)

Programming language

Correlation coefficient

Computer science

Linear regression

Data set

Proper linear model

Bayesian multivariate linear regression

Real estate

Scientific Programming

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.

Housing Price Prediction Based on Multiple Linear Regression