1. Assume you have estimated a travel cost model to a popular trailhead. The dependent variable in the regression is the number of trips per year by a site user. The independent variables in this simple model are the price (inclusive of travel and measured in dollars), the recreators income (in thousands of dollars), and a site quality rating (5 point scale). The table below contains the regression coefficients in column (3). Column (1) contains the mean values of the data collected on the site.

Independent Variables	Average Value of Independent Variables	Regression Coefficients (3)	Estimated Total Demand (Trips/yr)
Current (1)	Forecast (2)	Current (4)	Forecast (5)
Price	$10		-0.2
Income	$60		0.17
Quality Rating	2		0.9
Total

1. [5 pts]Complete column (4) by calculating the effect of each variable on the number of trips taken by the average person in the dataset. Sum the individual values of the column to arrive at the total value (bottom cells)

1. [5 pts]The site is considering whether to invest in several site upgrades that they believe might increase the site quality from 2 to 3. To pay for the upgrade the site fee will increase by $10. Complete column (2), then use that information to complete column (5) and sum the values to calculate total forecasted demand.

1. [5 pts]How are the total trips per year expected to change?