I am using Professional Baseball League as my variables.

"The dependent variablePlayers annual payis determined by independent variablesgame attendance, ticket sales, market size and concession sales."

Dependent variable:Players payis normally determined by factors such asgame attendance, ticket sales, market size and concession sales.All factors can determine how much the team will generate in revenue, then determines how much a players salary will be.

Primary independent variable:Of coursegame attendance very important as a source of revenue for major league teams.

Three other independent variables:Ticket Sales, Market size and concession sales

All the above mentioned independent variables affect the dependent variable.

Tm

Attendance

Attend/G

BatAge

PAge

BPF

PPF

#HOF

#A-S

#a-tA-S

Est. Payroll

Time

Chall

Succ

Succ%

Managers

ARI

2,135,510

26,364

28.7

28.6

102

102

0

2

7

$124,016,266

3:15

37

21

56%

Lovullo

ATL

2,654,920

32,777

28.0

27.5

108

107

0

3

17

$133,186,667

3:13

30

16

53%

Snitker

BAL

1,307,807

16,146

26.5

27.3

98

101

0

1

3

$82,696,100

3:07

30

11

36%

Hyde

BOS

2,915,502

35,994

27.3

29.0

105

105

0

3

11

$218,978,142

3:25

33

22

66%

Cora

CHC

3,094,865

38,208

27.7

31.1

99

98

0

3

16

$217,805,215

3:12

32

16

50%

Maddon

CHW

1,649,775

20,622

27.6

27.6

99

99

0

3

8

$80,846,333

3:10

28

12

42%

Renteria

CIN

1,809,075

22,334

27.9

28.2

108

108

0

2

11

$109,737,499

3:03

34

14

41%

Bell

CLE

1,738,642

21,465

27.8

28.3

105

104

0

4

13

$151,257,783

3:03

27

15

55%

Francona

COL

2,993,244

36,954

28.2

27.3

115

116

0

4

8

$145,348,500

3:14

38

20

52%

Black

DET

1,501,430

18,536

27.6

27.8

100

102

0

1

9

$100,618,500

3:02

34

14

41%

Gardenhire

HOU

2,857,367

35,276

28.9

29.9

102

100

0

6

15

$166,042,500

3:05

39

20

51%

Hinch

KCR

1,479,659

18,267

27.6

27.9

102

103

0

1

3

$98,183,242

3:03

28

23

82%

Yost

LAA

3,023,012

37,321

28.8

27.0

102

102

0

2

8

$177,345,250

3:15

31

17

54%

Ausmus

LAD

3,974,309

49,066

27.9

28.9

96

94

0

5

13

$193,553,333

3:12

37

22

59%

Roberts

MIA

811,302

10,016

28.4

26.5

95

97

0

1

5

$74,683,643

3:05

43

22

51%

Mattingly

MIL

2,923,333

36,091

28.9

28.7

101

101

0

5

11

$128,842,900

3:16

28

16

57%

Counsell

MIN

2,303,299

28,436

27.8

28.2

98

97

0

3

9

$113,758,333

3:14

39

12

30%

Baldelli

NYM

2,442,532

30,155

27.9

28.6

94

94

0

3

16

$154,837,230

3:09

36

13

36%

Callaway

NYY

3,304,404

40,795

28.3

30.2

99

98

0

5

15

$228,442,421

3:11

22

15

68%

Boone

OAK

1,670,734

20,626

27.8

30.8

93

91

0

2

6

$102,935,833

3:07

29

12

41%

Melvin

PHI

2,727,421

33,672

27.6

28.4

100

100

0

1

12

$141,786,962

3:15

43

23

53%

Kapler

PIT

1,491,439

18,413

27.4

27.2

98

99

0

2

7

$72,915,501

3:12

36

15

41%

HurdleandPrince

SDP

2,396,399

29,585

26.1

26.3

94

94

0

1

5

$90,260,767

3:07

54

25

46%

GreenandBarajas

SEA

1,791,109

22,112

27.8

28.6

94

94

0

1

8

$126,874,600

3:08

38

18

47%

Servais

SFG

2,707,760

33,429

29.9

28.9

95

96

0

1

15

$175,550,753

3:07

28

15

53%

Bochy

Reference:

2019 Major League Baseball Attendance & Team Age. Retrieved from https://www.baseball-reference.com/leagues/MLB/2019-

QUESTION: Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:

Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3

For instance, a typical model would be written:

Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size

Where

Price_of_Home: brief definition of dependent variable

Square_Footage: brief definition of first independent variable

Number_Bedrooms: brief definition of second independent variable

Lot_Size: brief definition of third independent variable

[Note: student of course replaces these variable names with his/her own variable names.]