Modern Business Statistics with Microsoft Excel (MindTap Course List)
Modern Business Statistics with Microsoft Excel (MindTap Course List)
5th Edition
ISBN: 9781285433301
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning
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Chapter 16.2, Problem 13E

Refer to exercise 12.

  1. a. Develop an estimated regression equation that can be used to predict the average number of birdies per round based upon the percentage of time the player is able to hit a green in regulation.
  2. b. Develop an estimated regression equation that can be used to predict the average number of birdies per round based upon the percentage of time a player is able to hit a green in regulation, the average driving distance, and the average number of putts per round.
  3. c. At the .05 level of significance, test whether the two independent variables added in part (b), the average driving distance and the average number of putts per round, contribute significantly to the estimated regression equation developed in part (a). Explain.

The Professional Golfers’ Association of America (PGA) collects a wide variety of performance data for members of the PGA Tour. A portion of the 2012 year-end data for 191 PGA Tour players are contained in the DATAfile named PGATour (CBS Sports website, 2013). For each player the variable named Scoring Avg is the average number of strokes per completed round; GIR is the percentage of time the player is able to hit a green in regulation; DriveDist is the average number of yards per measured drive; PPR is the average number of putts the player takes per round; and BPR is the average number of birdies per round.

  1. a. Develop an estimated regression equation that can be used to predict Scoring Average given the percentage of time a player is able to hit a green in regulation.
  2. b. Develop an estimated regression equation that can be used to predict Scoring Average based upon the percentage of time a player is able to hit a green in regulation, the average driving distance, and the average number of putts per round.
  3. c. At the .05 level of significance, test whether the two independent variables added in part (b), the average driving distance and the average number of putts per round, contribute to the estimated regression equation developed in part (a). Explain.
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