Conclusion
New York City has multiple variables to chose where you want to stay or live. This study is generalized common goods as the number of MTA subway station, the number of restaurants, and the number of business places. However, each neighborhood's distance between centroid to each subway line and give a weighted on each line could give a better idea. NYC has so many MTA lines and all lines don't offer the same convenience to get a destination. Also, if there is a spatial regression than I would like to use the regression to find multiple variable weight to find a correlation between 16 to 34 years old New Yorker living place and the six variables.