Investment in college town real estate is attractive because students offer a steady stream of rental demand as cash-strapped public universities cannot house their students beyond freshman year. The data we have on about 10,000 houses sold in a single year are not just any data, they are extracted from Zillow for 50 college towns. This unique dataset represents a highly simplified/modified sample of anonymized homes, excluding homes with observations that seem erroneous and/or not about sales.

Find the model (linear, non-linear, quadratic, exponential, log-log, etc.) that best predicts the sale price of two college towns; one begins with your first name, and the other begins with your last name.This is a crucial step in our research, as the accuracy of our predictions will heavily rely on the model selection. For example,Frank Lee will use, Flagstaff, AZ (Northern Arizona University) and Lexington, Kentucky (University of Kentucky). If there are multiple cities beginning with your first or last name, then you can choose one of the cities. Ichose Lexington among multiple cities beginning with L.If no town name starts with your first and/or last name (for example, if your first or last name begins with D, you can use the next town name, C or E.)

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