Matt Kenseth won the 2012 Daytona 500, the most important race of the NASCAR season. His win was no surprise because for the 2011 season he finished fourth in the point standings with 2330 points, behind Tony Stewart (2403 points), Carl Edwards (2403 points), and Kevin Harvick (2345 points). In 2011 he earned $6,183,580 by winning three Poles (fastest driver in qualifying), winning three races, finishing in the top five 12 times, and finishing in the top ten 20 times. NASCAR’s point system in 2011 allocated 43 points to the driver who finished first, 42 points to the driver who finished second, and so on down to 1 point for the driver who finished in the 43rd position. In addition any driver who led a lap received 1 bonus point, the driver who led the most laps received an additional bonus point, and the race winner was awarded 3 bonus points. But the maximum number of points a driver could earn in any race was 48. Table 15.8 shows data for the 2011 season for the top 35 drivers (NASCAR website, February 28, 2011)

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Matt Kenseth won the 2012 Daytona 500, the most important race of the NASCAR season. His win was no surprise because for the 2011 season he finished fourth in the point standings with 2330 points, behind Tony Stewart (2403 points), Carl Edwards (2403 points), and Kevin Harvick (2345 points). In 2011 he earned $6,183,580 by winning three Poles (fastest driver in qualifying), winning three races, finishing in the top five 12 times, and finishing in the top ten 20 times. NASCAR’s point system in 2011 allocated 43 points to the driver who finished first, 42 points to the driver who finished second, and so on down to 1 point for the driver who finished in the 43rd position. In addition any driver who led a lap received 1 bonus point, the driver who led the most laps received an additional bonus point, and the race winner was awarded 3 bonus points. But the maximum number of points a driver could earn in any race was 48. Table 15.8 shows data for the 2011 season for the top 35 drivers (NASCAR website, February 28, 2011).

 

Table15.8.NASCAR Results for the 2011 Season

Driver

Points

Poles

Wins

Top 5

Top 10

Winnings ($)

Tony Stewart

2403

1

5

9

19

6,529,870

Carl Edwards

2403

3

1

19

26

8,485,990

Kevin Harvick

2345

0

4

9

19

6,197,140

Matt Kenseth

2330

3

3

12

20

6,183,580

Brad Keselowski

2319

1

3

10

14

5,087,740

Jimmie Johnson

2304

0

2

14

21

6,296,360

Dale Earnhardt Jr.

2290

1

0

4

12

4,163,690

Jeff Gordon

2287

1

3

13

18

5,912,830

Denny Hamlin

2284

0

1

5

14

5,401,190

Ryan Newman

2284

3

1

9

17

5,303,020

Kurt Busch

2262

3

2

8

16

5,936,470

Kyle Busch

2246

1

4

14

18

6,161,020

Clint Bowyer

1047

0

1

4

16

5,633,950

Kasey Kahne

1041

2

1

8

15

4,775,160

A. J. Allmendinger

1013

0

0

1

10

4,825,560

Greg Biffle

997

3

0

3

10

4,318,050

Paul Menard

947

0

1

4

8

3,853,690

Martin Truex Jr.

937

1

0

3

12

3,955,560

Marcos Ambrose

936

0

1

5

12

4,750,390

Jeff Burton

935

0

0

2

5

3,807,780

Juan Montoya

932

2

0

2

8

5,020,780

Mark Martin

930

2

0

2

10

3,830,910

David Ragan

906

2

1

4

8

4,203,660

Joey Logano

902

2

0

4

6

3,856,010

Brian Vickers

846

0

0

3

7

4,301,880

Regan Smith

820

0

1

2

5

4,579,860

Jamie McMurray

795

1

0

2

4

4,794,770

David Reutimann

757

1

0

1

3

4,374,770

Bobby Labonte

670

0

0

1

2

4,505,650

David Gilliland

572

0

0

1

2

3,878,390

Casey Mears

541

0

0

0

0

2,838,320

Dave Blaney

508

0

0

1

1

3,229,210

Andy Lally

398

0

0

0

0

2,868,220

Robby Gordon

268

0

0

0

0

2,271,890

J. J. Yeley

192

0

0

0

0

2,559,500

Managerial Report

  1. Suppose you wanted to predict Winnings ($) using only the number of poles won (Poles), the number of wins (Wins), the number of top five finishes (Top 5), or the number of top ten finishes (Top 10). Which of these four variables provides the best single predictor of winnings?

  2. Develop an estimated regression equation that can be used to predict Winnings ($) given the number of poles won (Poles), the number of wins (Wins), the number of top five finishes (Top 5), and the number of top ten (Top 10) finishes. Test for individual significance and discuss your findings and conclusions.

  3. Create two new independent variables: Top 2–5 and Top 6–10. Top 2–5 represents the number of times the driver finished between second and fifth place and Top 6–10 represents the number of times the driver finished between sixth and tenth place. Develop an estimated regression equation that can be used to predict Winnings ($) using Poles, Wins, Top 2–5, and Top 6–10. Test for individual significance and discuss your findings and conclusions.

  4. Based upon the results of your analysis, what estimated regression equation would you recommend using to predict Winnings ($)? Provide an interpretation of the estimated regression coefficients for this equation.

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