Question 4 (2 mark) Consider again the NHL data you used in Assignments 2 and 3. We would like to revisit the relationship between Salary and Age. We are going to consider the model: y=o+51$1+52$2+...[3k:ck+u As in previous assignments, drop individuals who are 36 or older and individuals who have played 5 or less games. Let the variable :rl represent Age. (a) Begin by considering a model where the only right hand side variable is Age. (A regression of Salary on Age you did this in assignment 2.) Report the estimated effect of Age on Salary. What is the effect on Salary of one more year of age? Is this economically signicant? (b) Consider the two-sided hypothesis: H0: 31:0 H1: 231750 What is the result of this test assuming a 5% level of statistical signicance? What is the smallest level of statistical significance at which you can reject the Null hypothesis