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race winner was awarded3 bonus points. But, the maximum number of points a driver could earn in any race was 48. The following table shows data for the 2011 season for the top 35 drivers (NASCAR website). These data are contained in the file NASCAR. Please see the data file NASCAR. Driver Points Poles Wins Top 5 Top 10 Winnings ($) Tony 2403 Stewart 19 6,529,870 Carl Edwards 2403 19 26 8,485,990 Kevin 2345 Harvick 4 9. 19 6,197,140 Matt 2330 3 12 20 6,183,580 Kenseth Brad 2319 3. 10 14 5,087,740 Source: NASCAR website, February 28, 2011. (https://www.nascar.com/) Managerial Report 1. Suppose you wanted to predict Winnings ($) 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? (20%) 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 finishes (Top 10). Test for individual significance and discuss your findings and conclusions. (20%)

race winner was awarded3 bonus points. But, the maximum number of points a driver could earn in any race was 48. The following table shows data for the 2011 season for the top 35 drivers (NASCAR website). These data are contained in the file NASCAR. Please see the data file NASCAR. Driver Points Poles Wins Top 5 Top 10 Winnings ($) Tony 2403 Stewart 19 6,529,870 Carl Edwards 2403 19 26 8,485,990 Kevin 2345 Harvick 4 9. 19 6,197,140 Matt 2330 3 12 20 6,183,580 Kenseth Brad 2319 3. 10 14 5,087,740 Source: NASCAR website, February 28, 2011. (https://www.nascar.com/) Managerial Report 1. Suppose you wanted to predict Winnings ($) 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? (20%) 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 finishes (Top 10). Test for individual significance and discuss your findings and conclusions. (20%)

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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19 20 https://eleaming uhv.edweb X GroupMe e233b4f6-f69c-47cf-8298-632 X A e233 groupme.com/v1/84589548/files/e233b4f6-f69c-47cf-8298-632d0266b7bc - D Page view A Read aloud Add text V Draw - A race winner was awarded 3 bonus points. But, the maximum number of points a driver could earn in any race was 48. The following table shows data for the 2011 season for the top 35 drivers (NASCAR website). These data are contained in the file NASCAR. Please see the data file NASCAR. Driver Points Poles Wins Top 5 Top 10 Winnings ($) 6,529,870 Tony 2403 1. 6 Stewart Carl Edwards 2403 26 8,485,990 3. 1. Kevin 2345 6,197,140 Harvick Matt 2330 12 6,183,580 3. 3. Kenseth 2319 14 5.087,740 3. Source: NASCAR website, February 28, 2011. (https://www.nascar.com/) Managerial Report 1. Suppose you wanted to predict Winnings ($) 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? (20%) 2. Develop an estimated regression equation that can be used to predict Winnings ($) given the number of poles won (Poles), the number of wins (Wins), the number of top five finishes (Top 5), and the number of top ten finishes (Top 10). Test for individual significance and discuss your findings and conclusions. (20%) TOSHIBA F10 F11 F12 F8 6 SAS 8/0 7. 8. 6. K
Transcribed Image Text:19 20 https://eleaming uhv.edweb X GroupMe e233b4f6-f69c-47cf-8298-632 X A e233 groupme.com/v1/84589548/files/e233b4f6-f69c-47cf-8298-632d0266b7bc - D Page view A Read aloud Add text V Draw - A race winner was awarded 3 bonus points. But, the maximum number of points a driver could earn in any race was 48. The following table shows data for the 2011 season for the top 35 drivers (NASCAR website). These data are contained in the file NASCAR. Please see the data file NASCAR. Driver Points Poles Wins Top 5 Top 10 Winnings ($) 6,529,870 Tony 2403 1. 6 Stewart Carl Edwards 2403 26 8,485,990 3. 1. Kevin 2345 6,197,140 Harvick Matt 2330 12 6,183,580 3. 3. Kenseth 2319 14 5.087,740 3. Source: NASCAR website, February 28, 2011. (https://www.nascar.com/) Managerial Report 1. Suppose you wanted to predict Winnings ($) using only the number of poles won (Poles), the number of wins (Wins), the number of top five finishes (Top 5), or the number of top ten finishes (Top 10). Which of these four variables provides the best single predictor of winnings? (20%) 2. Develop an estimated regression equation that can be used to predict Winnings ($) 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 finishes (Top 10). Test for individual significance and discuss your findings and conclusions. (20%) TOSHIBA F10 F11 F12 F8 6 SAS 8/0 7. 8. 6. K
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