please solve it correctly I will thumb you

Problem #7 It is possible that the regression specification is missing an omitted variable. Think of a variable that we might have left out that could help explain the variations in salary. What variable did you think of and why might it be related to how players are paid in the NBA? investigating in this assignment. Your task is to collect salary and performance data for the players on your NBA team for the 2018/19 season and assemble it in an excel file as follows1: Column For NBA teams: A B C D E UWOI- Player's Name Player's 2018/19 Salary Career Games up to the start of 2018/19 Minutes/game in 2018/19 Points/game in 2018/19 Assists/game in 2018/19 Rebounds/game in 2018/19 Block + Steals/game in 2018/19 Field Goal % in 2018/19 G H Once you have acquired and assembled your data, you will need to perform the following regression with "Salary" as the dependent variable: *NBA (only use players with at least 15 games played in 2018/19)2 Salary = Bo + B1 CG + B2 Min + B3 P + BA A + B R + B6 BS + B, FG% where, Salary = Player salary for 2018 - 2019 CG = Career Games up to the start of 2018 - 2019 Min = Minutes/game in 2018 2019 P = Points/game in 2018 - 2019 A = Assists/ game in 2018 - 2019 R = Total Rebounds game in 2018 - 2019 BS = (Blocks + Steals) game in 2018 - 2019 FG% = Field Goal Percentage in 2018 - 2019