Conclusions
Descriptive
We did not find as many significant relationships as we would have liked. This however does not mean that they do not exist. We did this analysis with a small portion of data that may or may not represent the DC Metro area as a whole. Our data however does not support that food businesses in DC are significantly better than food businesses in less expensive surrounding areas.
Predictive
The best regression model we built had an adjusted R squared value of 0.835.
value_estimation=228*total_square_footage+61880*surrounding_restaurant_mean_rating-99640*is_Condonminium + 91150*is_single_family_type - 3.727*latitude
With this equation, along with monthly rent interval = [0.008, 0.011]*value_estimation, we can calculate the monthly rent to check if we are being overcharged for our apartments.
We found housing prices are positively correlated with total square footage, mean Yelp rating of the surrounding businesses and whether it is a single family type and is negatively correlated with whether it is a condominium or not.