In this project, we are going to look at Airbnb listings in New York City and try to understand what makes some listings more expensive than others. We were given a dataset that contains information about thousands of Airbnb listings in NYC, including things like what type of room it is, which borough it's in, how many reviews it has, and how available it is throughout the year. We thought this was an interesting topic because a lot of us have used Airbnb before and it can be quite confusing why two listings that seem similar can have very different prices. The goal is to use regression analysis to figure out which variables have the biggest influence on the price. The variable we are trying to explain (the dependent variable) is **price**, which is the nightly rental price in US dollars.