Background: This deliverable is to help us begin to think about the Sports Labor Market and to follow through with public finance. Please use the vault videos, text reading and any scholarly articles assigned to help answer the questions below. You will use the provided dataset to answer some questions. This dataset is the 2017-2018 NHL salary and statistics. Assignment: 1. What is the age-earnings relationship for professional athletes. Show this relationship in a graph (age on the 'X' axis and earnings on the 'y' axis). How may this be different than for employees in most typical industries? 2. In 2 paragraphs make an argument for using taxpayer money to fund a stadium. 3. In 2 paragraphs make an argument against using taxpayer money to fund a new stadium. 4. Use the provided data to answer the following questions. For each please make a table the shows the R2, Adjusted R2, coefficient and the t-stats: a. Run the following regression: Sal = b0 + b1G + b2PIM. How do you interpret the coefficient b1? Is there anything unusual about the results? b. Fit your own model that best explains salary. How did you decide that this is the 'best fit'? (be sure to exclude any unnecessary or insignificant variables) c. Extra credit: use a statistical technique like the one used in our Demand for Baseball article to compute the number of seasons that maximize salary. 5. After answering the questions from number 4, what did you find surprising (if anything)?