Brett, an analyst working for a company that looks after a suite of parking stations, asserts that the cost of parking significantly increases for customers as the location of a restaurant at which they patron is located closer to the city. Select a suitable graphical method and numerical measure to examine whether this to be the case using the data you have been provided. Examining your graphical results, can you see whether, and why, there is a further consideration in the data that should be explored? In particular, repeat your analysis above by segmenting the data based on restaurants located in the City and Metro regions combined (i.e., those restaurants that are 10km or less in distance from the CBD) as compared to those located in the outer suburbs (i.e., at a location that is more than 10km from the CBD). To be clear, you are asked to provide three figures and three numerical measures to answer this question in its entirety. short summary that describes these results to Brett and suggest possible reasons why the results vary depending on how the data is segmented. Is there an additional way of measuring the distance variable that you could propose that could be useful to explain the variation in parking costs not captured presently?

Would it be a good idea to present the data through a scatter plot (graphical) and correlation coefficient (numerical)? How do I segment the data in the way that the question requires.