This paper analyzes major factors that affect housing prices by employing the Spearman’s correlation coefficient, selecting significant factors influencing general house prices, and doing the combined analysis algorithm. We have set up a multiple linear regression model for the prediction of housing price and applied the data set to test the method after finishing the above process. To give a summary of the analysis done to the data by running a test in this paper, it can be shown that the proposed multiple linear regression model can effectively predict and analyze housing price to some extent. However, the algorithm used here can be improved with better machine learning methods.