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In todays era, renting offers lower costs and greater flexibility compared to buying, making it a preferred choice for many to meet their accommodation needs. Therefore, identifying factors that affect rental prices is of significant importance both for individuals and governments. Through the establishment of multiple linear regression and stepwise regression models, this paper analyzed 400 samples selected from a dataset of 20,000 rental listings in Shanghai, revealing the relationships between rental prices and key factors in the city. During the process of model establishment and data analysis, variables that significantly impact rent were identified through significance testing. The model indicated a strong relationship between the size of the property and its renovation status with rental prices, while other variables such as proximity to subway stations and the floor level of the property had a weaker impact on rent. These findings can assist individuals in making informed decisions when choosing rental properties. Overall, this research contributes valuable insights into the factors influencing rental prices in Shanghai, enabling better decision-making for both renters and policymakers.
Zicen Qin (Mon,) studied this question.