Housing Prices Dataset

This project analyzes the Housing Prices Dataset uploaded on Kaggle by M Yasser H. The goal of my analysis is to understand how housing prices differs depending on other factors such as # of bedrooms, stories, # of bathrooms, furnished status, etc.

Linear Regressions were performed to understand the relationship of the following variables: Variables used:

• Price (dependent)

• mainroad (0/1 dummy)

• unfurnished (0/1 dummy)

• stories (continous)

• parking (continous)

• bedroom (continous)

• bathrooms (continous)

Results suggests that all variables except for the intercept are significant at the 95% level. R_squared suggests that the model explains 50% of the data variation.

Click to view the process and results