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Multiple Regression: Case Problem Predicting Winnings for NASCAR Drivers [WLOs: 1, 2, 3] [CLOs: 1, 2, 3, 4, 5, 6, 7] Prior to beginning work

Multiple Regression: Case Problem Predicting Winnings for NASCAR Drivers [WLOs: 1, 2, 3] [CLOs: 1, 2, 3, 4, 5, 6, 7]

Prior to beginning 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.

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.
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

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