The Research on Factors Influencing Housing Prices-Take Chicago as an Example

This paper purposes to research what factor is influenced the house price in Chicago. The Multiple Linear Regression will be used as the main method in the article. The 158 samples are chosen to analyze the factors. According to this data, there are 8 variables will be related with housing price. There are the number of bedrooms, spaces, rooms, lots, taxes, bathrooms, garages, conditions respectively. Also, this paper considers the area, stories, guestroom, basement, hotwaterheating, air-conditioning, parking, prefarea, furnishing status, and use Pearson correlation to show the strength of them. To prove the accuracy of the set of data, the model will use the value of F to check. The fact is verifying that area, bedrooms, bathroom have significant relation with the house price in Chicago and the other factors are not have direct relationship with price. Overall, the house price in Chicago can be influenced by the condition of the environment around the house.