Question 8 Background : Airbnb: New York City Airbnb is an online marketplace used by many travelers when booking lodging all over the world. The company serves as a broker, receiving commissions from each booking. Guests have the opportunity to give a review to their host once their lodging is complete. New York City (NYC) is known for high lodging prices. We took a random sample of 343 Airbnb listings and recorded many variables including price per night (in dollars) and number of reviews (count). We would like to study the relationship between number of reviews (counts) and price (in dollars) for all Airbnb listing in NYC. Using regression, we would like to explore if the number of reviews (explanatory variable) has an effect on the listed price per night (response). Here's some relevant graphical display and R output: Scatterplot of price per night versus number of reviews by MB 600 500 O 400 Listed price per night ($ O 300 o 200 o 100 O 100 200 300 400 Number of reviews (count) Coefficients: Estimate Std. Error t value Pr (>|t|) (Intercept) 351.95437 9. 08127 38 . 76