In recent years, the change in house prices has also become a main factor affecting economic changes. There are lot of research shows that the relationship between economics and house prices. This study focuses on how house prices change and what factors can lead to the change in house prices. The data from the Kaggle website, containing property prices in Delhi. By using the linear regression model, calculate 12 factors which are Price, Area, Bedrooms, Bathrooms, stories, main road, guestroom, basement, hotwaterheating, airconditioning, parking, prefarea, and furnishing status to study the degree and trend of impact on house prices changes. The results show that area, bathrooms, stories, guestroom, basement, hotwaterheating, airconditioning, parking, prefarea will have a significant positive impact on price, and furnishing status will have a significant negative impact on price. Bedrooms have no impact on price. This study opens a new perspective and giving society a new thinking angle for the study of housing prices changes.
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Zixuan Lyu (2024) studied this question.
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