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Professional athletes in North America are paid very well for their ability to play games. To determine the factors that influence a team to pay

Professional athletes in North America are paid very well for their ability to play games. To determine the factors that influence a team to pay a hockey player's salary, 50 hockey players were selected randomly. The salaries at the end of the season, as well as the following performance measures for the season were recorded for each player: games played, goals scored, assists, plus/minus score, and penalty minutes. The data is given in the data file below.

Data Set.xls

Perform a regression analysis and provide the answers to the following questions in an MS Excel file, then upload the MS Excel file.

Questions:

1. Is the regression model valid? Provide a brief explanation.

2. Would you recommend any independent variables be removed from the model, and explain why? (Do not re-run the model, simply identify which variable(s) you would remove and analyze further.)

Games Played Goals Scored Assists Plus/Minus Score Penalty minutes Salary
58 24 58 11 36 3,214,520
72 20 71 26 58 2,500,000
81 57 40 -3 38 2,200,000
66 28 29 10 73 1,400,000
84 52 27 27 127 1,150,000
79 15 43 16 163 900,000
44 4 20 16 8 800,000
83 29 29 -2 73 725,000
65 1 5 -7 72 700,000
82 3 27 -5 115 685,000
64 12 30 12 40 600,000
56 16 14 1 26 600,000
65 2 2 -4 22 600,000
78 15 40 5 30 570,000
67 13 15 -21 64 525,000
70 13 20 28 72 481,586
55 1 9 -11 85 450,000
64 3 18 -14 135 450,000
27 2 4 -4 8 450,000
79 11 29 8 276 314,500
77 1 11 5 52 414,000
71 3 5 -7 146 400,000
79 2 7 4 110 400,000
76 17 14 0 31 392,500
66 17 23 9 28 385,000
60 1 9 -11 67 375,000
81 8 11 -8 347 375,000
71 10 20 14 20 270,100
84 7 7 -4 305 360,000
53 2 21 5 63 259,000
73 4 8 -20 96 259,000
49 2 8 -3 63 240,500
33 4 3 -1 28 325,000
17 1 1 -2 49 315,000
64 6 28 9 36 307,311
29 1 11 4 22 300,000
62 2 17 20 36 300,000
59 1 6 -13 40 300,000
70 6 9 -50 116 222,000
16 2 2 -8 2 275,000
6 1 0 -1 2 275,000
60 2 6 -7 58 265,000
81 12 38 -12 16 250,000
78 12 77 20 39 250,000
10 1 2 2 4 230,000
9 0 0 -4 12 225,000
81 18 13 -1 48 225,000
67 12 3 -22 82 200,000
20 1 3 -1 8 200,000
32 9 10 7 10 165,000

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