Rent Burden

// Geographically weighted regression, OLS regression, ArcGIS

This project explores the relationship between rent burdened census tracts and the common factors in such areas through OLS (Ordinary Least Squares) and GWR (Geographically Weighted Regression). The variables explored include education level, English speaking ability, income, overcrowding, rent paid, age, single-mother households, and race. Analysis was completed for New York City. Based on the model created from the New York City analysis, San Francisco and Chicago housing markets were analyzed.