MindTap Business Statistics, 2 terms (12 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran’s Modern Business Statistics with Microsoft Office Excel, 6th (MindTap Course List)
6th Edition
ISBN: 9781337115391
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Textbook Question
Chapter 16.2, Problem 13E
Refer to exercise 12.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Chapter 16 Solutions
MindTap Business Statistics, 2 terms (12 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran’s Modern Business Statistics with Microsoft Office Excel, 6th (MindTap Course List)
Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Prob. 3ECh. 16.1 - A highway department is studying the relationship...Ch. 16.1 - In working further with the problem of exercise 4,...Ch. 16.1 - A study of emergency service facilities...Ch. 16.1 - Home Depot, a nationwide home improvement...Ch. 16.1 - Corvette, Ferrari, and Jaguar produced a variety...Ch. 16.1 - The film Suicide Squad has an average rating of...Ch. 16.2 - In a regression analysis involving 27...
Ch. 16.2 - Prob. 11ECh. 16.2 - The Professional Golfers’ Association of America...Ch. 16.2 - Refer to exercise 12.
Develop an estimated...Ch. 16.2 - A 10-year study conducted by the American Heart...Ch. 16.2 - The average monthly residential gas bill for Black...Ch. 16.5 - Prob. 16ECh. 16.5 - Prob. 17ECh. 16.5 - Prob. 18ECh. 16.5 - Prob. 19ECh. 16.5 - Prob. 20ECh. 16.5 - Prob. 21ECh. 16.5 - Prob. 22ECh. 16.5 - Prob. 23ECh. 16.6 - The following data show the daily closing prices...Ch. 16.6 - Refer to the Cravens data set in Table 16.5. In...Ch. 16 - A sample containing years to maturity and yield...Ch. 16 - Consumer Reports tested 19 different brands and...Ch. 16 - A study investigated the relationship between...Ch. 16 - Refer to the data in exercise 28. Consider a model...Ch. 16 - Refer to the data in exercise 28.
Develop an...Ch. 16 - Prob. 31SECh. 16 - The Ladies Professional Golf Association (LPGA)...Ch. 16 - Wine Spectator magazine contains articles and...
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- Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forward2 (VaR and ES) Suppose X1 are independent. Prove that ~ Unif[-0.5, 0.5] and X2 VaRa (X1X2) < VaRa(X1) + VaRa (X2). ~ Unif[-0.5, 0.5]arrow_forward8 (Correlation and Diversification) Assume we have two stocks, A and B, show that a particular combination of the two stocks produce a risk-free portfolio when the correlation between the return of A and B is -1.arrow_forward
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