stat

Prior to

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b

eginning work on this discussion forum, watch the 

Week 5 Introduction
 (Links to an external site.)

 video, and read Chapter 15 in the MindTap ebook by clicking on the Getting Ready link for each perspective chapter.

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Step 1: Read

· Review 

Case Problem 2: Predicting Winnings for NASCAR Drivers

 
 Download Case Problem 2: Predicting Winnings for NASCAR Drivers

from Chapter 15 of the ebook.

Step 2: Do

· Run a Regression for the Data File NASCAR (Chapter 15) using the video 

How to Add Excel’s Data Analysis ToolPak
 (Links to an external site.)

 for assistance.

In a managerial report,

· 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?

· 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 then discuss your findings and conclusions.

Step 3: Discuss:

· What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations.

b

2

>Data

0

1 5

,529,

0

2403 3 1 19

0 4 9 19

0

3 3

3,580

1 3

14

0 2 14

1 0 4 12

3,690

1 3

18

0 1 5 14

2284 3 1 9

3 2 8 16

,470

1 4 14 18

0 1 4 16

2 1 8

0 0 1 10

3 0 3 10

0 1 4 8

1 0 3 12

936 0 1 5 12

0 0 2 5

2 0 2 8

2 0 2 10

2 1 4 8

2 0 4 6

0 0 3 7

0 1 2 5

1 0 2 4

1 0 1 3

0 0 1 2

0 0 1 2

0 0 0 0

0 0 1 1

0 0 0 0

0 0 0 0

0 0 0 0

Driver Points Poles Wins Top

5 Top

1 0 Winnings ($)
Tony Stewart 2

4 3 9 19 6 8 7
Carl Edwards 26 8,485,990
Kevin Harvick 2345 6,197,

14
Matt Kenseth 2330 12 20 6,

18
Brad Keselowski 2319 10 5,087,740
Jimmie Johnson 2304 21 6,296,360
Dale Earnhardt Jr. 2290 4,

16
Jeff Gordon 2287 13 5,912,830
Denny Hamlin 2284 5,401,190
Ryan Newman 17 5,303,020
Kurt Busch 2262 5,

936
Kyle Busch 2246 6,161,020
Clint Bowyer 1047 5,633,950
Kasey Kahne 1041 15 4,775,160
A.J. Allmendinger 1013 4,825,560
Greg Biffle 997 4,318,050
Paul Menard 947 3,853,690
Martin Truex Jr. 937 3,955,560
Marcos Ambrose 4,750,390
Jeff Burton 935 3,807,780
Juan Montoya 932 5,020,780
Mark Martin 930 3,830,910
David Ragan 906 4,203,660
Joey Logano 902 3,856,010
Brian Vickers 846 4,301,880
Regan Smith 820 4,579,860
Jamie McMurray 795 4,794,770
David Reutimann 757 4,374,770
Bobby Labonte 670 4,505,650
David Gilliland 572 3,878,390
Casey Mears 541 2,838,320
Dave Blaney 508 3,229,210
Andy Lally* 398 2,868,220
Robby Gordon 268 2,271,890
J.J. Yeley 192 2,559,500

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