please help. thank you

Problem Set 2: Multiple Linear Regression Econ 390 1. The athletic director of NIU is interested in explaining attendance at football gamesat NIU and asks you to help. Based on the available (game level) data, you suggest the following model: Attend = 30 + 1WLperc + zOppWLperc + sGames + 4Temp + u where Attend is game attendance (in 1,0005), WLperc is NIU's win/loss percentage to date, OppWLperc is the opponent win/loss percentage to date, Games is the number of games played this season to date, and Temp is air temperature during the game. (a) What signs do you expect [31, 32, ,83 and ,84 to have? Explain. (b) You estimate this model using the data for about 120 home games played duringthe past 20 years, and here are the results: A Attend = 8.12 + 0.063WLperc + 0.0110ppWLperc + 0.031Games + 0.010Temp (3.34) (0.014) (0.014) (0.177) (0.062) n = 12O,R2= 0.171 (i) Which slope coefficients are statistically significant at the 5% level? At the1% level? (ii) Test overall significance of this model at the 5% level. (iii) Based on these estimates: if the athletic director wants to increase attendance, what should he do? (c) Dropping OppWLperc, Games and Temp from the equation gives A Attend : 9.38 + 0.057WLperc (4.11) (0.017) n = 12O,R2 = 0.159 [i] Are OppWLperc, Games and Temp jointly significant at the 5% level? (ii) Does including these variables in the model greatly affect the estimated effectof NIU's football team win/loss percentage? (d) What other variable(s) you'd want to include in this model