Abstract
This article seeks to explain the unstable curve of housing prices in San Jose by analyzing the data of factors that may affect the housing market. By previous research conducted by other scholars, we believe there were five major factors which cause the housing prices to fluctuate, which are construction costs, total population, median income, mortgage rates and crime rates. Introducing multiple linear regression (MLR) as an approach to analyze and based on the monthly data of five-years period, from 2015 to 2019, we find an increase of mortgage rates and construction costs can lead to an increase in housing prices and other factors may not affect the housing prices as expected. However, due to lacking monthly data of certain factors like total population, we use other information associated with the factors to find an approximation of the real monthly data. Hence, while the conclusion provides certain explanations of housing prices for the buyers, it is built on many assumptions and may not perfectly fit the real behaviour of the housing market of San Jose.
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