Study of the Factors Influencing House Prices in California, USA

The world's population is growing at a rapid pace, which has raised concerns about the real estate market. This essay seeks to identify the factors that influence the cost of homes in California, USA. The findings can help individuals have a better grasp of home pricing and the variables that greatly affect a home's final cost. This article uses eight independent factors that have a significant impact on housing prices. The dataset is analyzed using the linear regression model. The location of the home, the number of bedrooms, and the median income are among the independent variables that were employed in this study and are critical to the model's outcomes. It is also explained how to make the model more multi-linear. The paper includes a correlation analysis that is utilized to enhance the prior model. The purpose of the comparison of the two models is to ascertain the benefits and drawbacks of each. The outcome suggests that the key elements pertaining to the median house value can be explained by four fundamental variables.