Question: HW #7: Dummy Variables Due: 3/29 #1) Data 7-20 has data on NBA (National Basketball Association) players' salaries and their determinants for 1989-90. The dependent

 HW #7: Dummy Variables Due: 3/29 #1) Data 7-20 has data

HW #7: Dummy Variables Due: 3/29 #1) Data 7-20 has data on NBA (National Basketball Association) players' salaries and their determinants for 1989-90. The dependent variable is salary is in thousands of dollars. The explanatory variables are: YRS = the number of years in the NBA. HT = height of the player in inches. WT 2 weight of the player in inches AGE = age of the player in 1989 MIN = number of minutes played during the season AVGPNTS = average points per game played FGPRCNT = fraction of shots that each player made (1.000 = perfect shooting) POINTS = total points scored in the 1989-1990 season ALLSTAR = 1 if the player was on the all star team in 1990-1991, zero otherwise. WINT'M = Dummy variable =1 if the team that the player is on won at least 45 games in 1989-1990. zero otherwise. REBOUNDS = The total number of rebounds by each player. a. Identify and explain the expected relationship between the dependent variable and each independent variable. b. Run the regression and show the results. Give an interpretation for coefficients of the dummy variables \"WINTM,\" and \"ALLSTAR.\" Do the signs of the coefficients agree with your expectations? Explain

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