Ashford Discussion tep 1: Read Review Case Problem 2: Predicting Winnings for NASCAR Drivers Download Case Problem 2: Predicting Winnings for NASCAR Dr

Ashford Discussion tep 1: Read

Review Case Problem 2: Predicting Winnings for NASCAR Drivers Download Case Problem 2: Predicting Winnings for NASCAR Dr

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Ashford Discussion tep 1: Read

Review Case Problem 2: Predicting Winnings for NASCAR Drivers Download Case Problem 2: Predicting Winnings for NASCAR Driversfrom 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.

Guided Response: Review several of your peer’s posts. In a minimum of 100 words each, respond to at least two of your fellow students’ posts in a substantive manner, and provide information that they may have missed or may not have considered regarding the application of Multiple Regression in business and economics. Do you agree with their conclusions? Why or why not? Data

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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