This was an exercise in stepping through the different stages of regressions in order to determine which datasets were statistically the best to model a chosen variable (in this case food). This process included exploratory regression, OLS regression and geographically weighted regression. The results from each step was used in the next. Model fit, residuals and collinearity were just some of the variables considered during the course of this project.