Concept explainers
The Professional Golfers Association (PGA) maintains data on performance and earnings for members of the PGA Tour. For the 2012 season Bubba Watson led all players in total driving distance, with an average of 309.2 yards per drive. Some of the factors thought to influence driving distance are club head speed, ball speed, and launch angle. For the 2012 season Bubba Watson had an average club head speed of 124.69 miles per hour, an average ball speed of 184.98 miles per hour, and an average launch angle of 8.79 degrees. The DATAfile named PGADrivingDist contains data on total driving distance and the factors related to driving distance for 190 members of the PGA Tour (PGA Tour website, November 1, 2012). Descriptions for the variables in the data set follow.
Club Head Speed: Speed at which the club impacts the ball (mph)
Ball Speed: Peak speed of the golf ball at launch (mph)
Launch Angle: Vertical launch angle of the ball immediately after leaving the club (degrees)
Total Distance: The average number of yards per drive
- a. Develop an estimated regression equation that can be used to predict the average number of yards per drive given the club head speed.
- b. Develop an estimated regression equation that can be used to predict the average number of yards per drive given the ball speed.
- c. A recommendation has been made to develop an estimated regression equation that uses both club head speed and ball speed to predict the average number of yards per drive. Do you agree with this? Explain.
- d. Develop an estimated regression equation that can be used to predict the average number of yards per drive given the ball speed and the launch angle.
- e. Suppose a new member of the PGA Tour for 2013 has a ball speed of 170 miles per hour and a launch angle of 11 degrees. Use the estimated regression equation in part (d) to predict the average number of yards per drive for this player.
a.
Find the estimated regression equation that could be used to predict the average number of yards per drive given the club head speed.
Answer to Problem 9E
The estimated regression equation that could be used to predict the average number of yards per drive given the club head speed is
Explanation of Solution
Calculation:
The Professional Golfers Association (PGA) data consisting of information regarding to the speed at which the club impacts the ball (Club Head Speed), peak speed of the golf ball at launch (Ball Speed), Vertical Launch angle of the ball immediately after leaving the club (Launch Angle) and the average number of yards per drive (Total Distance).
Multiple linear regression model:
A multiple linear regression model is given as
Regression:
Software procedure:
Step by step procedure to get regression equation using MINITAB software is given as,
- Choose Stat > Regression > Regression > Fit Regression Model.
- Under Responses, enter the column of Total Distance.
- Under Continuous predictors, enter the columns of Club Head Speed.
- Click OK.
The output using MINITAB software is given as,
Thus, the estimated regression equation that could be used to predict the average number of yards per drive given the club head speed is
b.
Find the estimated regression equation that could be used to predict the average number of yards per drive given the ball speed.
Answer to Problem 9E
The estimated regression equation that could be used to predict the average number of yards per drive given the ball speed is
Explanation of Solution
Calculation:
Regression:
Software procedure:
Step by step procedure to get regression equation using MINITAB software is given as,
- Choose Stat > Regression > Regression > Fit Regression Model.
- Under Responses, enter the column of Total Distance.
- Under Continuous predictors, enter the columns of Ball Speed.
- Click OK.
The output using MINITAB software is given as,
Thus, the estimated regression equation that could be used to predict the average number of yards per drive given the ball speed is
c.
Explain whether developing an estimated regression equation that uses both club head speed and ball speed to predict the average number of yards per drive, is useful.
Explanation of Solution
Calculation:
Regression:
Software procedure:
Step by step procedure to get regression equation using MINITAB software is given as,
- Choose Stat > Regression > Regression > Fit Regression Model.
- Under Responses, enter the column of Total Distance.
- Under Continuous predictors, enter the columns of Club Head Speed and Ball Speed.
- Click OK.
The output using MINITAB software is given as,
Thus, the estimated regression equation that could be used to predict the average number of yards per drive given both club head speed and ball speed is,
In the given output,
Thus, only 77.14% variability in total distance can be explained by variability in Club Head and Ball Speed.
Scatter Diagram:
Software Procedure:
Step by step procedure to obtain scatter diagram using MINITAB software is given as,
- Choose Graph > Scatter plot.
- Choose Simple, and then click OK.
- Under Y variables, enter a column of Ball Speed.
- Under X variables, enter a column of Club Head Speed.
- Click Ok.
The MINITAB output is given as,
The scatter diagram exhibits a strong positive linear relationship between ball speed and club head speed. Both variables in the same model is not recommended as the linear effect of one variable describes the linear effect of the other variable. As a result, the other variable will be of little additional value. Thus, there is a chance of multicollinearity.
Thus, developing an estimated regression equation that uses both club head speed and ball speed to predict the average number of yards per drive, is not useful.
d.
Explain whether developing an estimated regression equation that uses both club head speed and launch angle to predict the average number of yards per drive.
Answer to Problem 9E
The estimated regression equation that could be used to predict the average number of yards per drive given both club head speed and Launch Angle is,
Explanation of Solution
Calculation:
Regression:
Software procedure:
Step by step procedure to get regression equation using MINITAB software is given as,
- Choose Stat > Regression > Regression > Fit Regression Model.
- Under Responses, enter the column of Total Distance.
- Under Continuous predictors, enter the columns of Club Head Speed and Launch Angle.
- Click OK.
The output using MINITAB software is given as,
Thus, the estimated regression equation that could be used to predict the average number of yards per drive given both club head speed and Launch Angle is,
e.
Predict the average number of yards per drive for the new player using the obtained equation in part (d).
Answer to Problem 9E
The predicted average number of yards per drive for the new player is 285.465 yards.
Explanation of Solution
Calculation:
The ball speed of a new PGA player is 170 mph with launch angle of 11 degrees.
From previous part (b) it is found that estimated regression equation that could be used to predict the average number of yards per drive given both club head speed and Launch Angle is
Thus, the predicted average number of yards per drive for the new player is,
Thus, the predicted average number of yards per drive for the new player is 285.465 yards.
Want to see more full solutions like this?
Chapter 15 Solutions
Statistics for Business & Economics (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
- Please correct my answers for b and c with explanation. Need to understand for exam, thanks!arrow_forwardA data set has five values. The smallest value is 13. The median is 18. The mode is 27. What is the range?arrow_forwardThe Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and To investigate the relationship between the car’s mileage and the sales price for Camrys, the following data show the mileage and sale price for 19 sales (PriceHub Web site, February 24, 2012). Miles (1000s) Price ($1,000s) 22 16.2 29 16.0 36 13.8 47 11.5 63 12.5 77 12.9 73 11.2 87 13.0 92 11.8 101 10.5 110 8.3 28 12.5 59 11.1 68 15.0 68 12.2 91 13.0 42 15.6 65 12.7 110 8.3 Develop an estimated regression equation…arrow_forward
- Use excel to do all calculations. Please show all work.arrow_forwardBicycling, the world's leading cycling magazine, reviews hundreds of bicycles throughout the year. Their "Road-Race" category contains reviews of bikes used by riders primarily interested in racing. One of the most important factors in selecting a bike for racing is the weight of the bike. The following data show the weight (pounds) and price ($) for 10 racing bikes reviewed by the magazine (Bicycling website). DATA file Brand FELT F5 PINARELLO Paris ORBEA Orca GDR EDDY MERCKX EMX-7 BH RC1 Ultegra BH Ultralight 386 CERVELO S5 Team GIANT TCR Advanced 2 WILIER TRIESTINA Gran Turismo (to 3 decimals) Weight Price ($) 17.8 16.1 14.9 15.9 Did the estimated regression equation provide a good fit? The estimated regression equation provided a - Select your answer - fit. c. Predict the price for a bike that weighs 15 pounds. (to whole number) 2100 6250 8370 6200 17.2 13.1 16.2 17.1 17.6 SPECIALIZED S-Works Amira SL4 14.1 8000 a. Use the data to develop an estimated regression equation that could…arrow_forwardThe number of students in a classroom would be considered which type of data.arrow_forward
- The average number of minutes Americans commute to work is 27.7 minutes (Sterling's Best Places, April 13, 2012). The average commute time in minutes for 48 cities are as follows: Click on the datafile logo to reference the data. DATA file Albuquerque Atlanta Austin Baltimore Boston Charlotte Chicago Cincinnati Cleveland Columbus Dallas Denver Detroit El Paso Fresno Indianapolis 23.3 28.3 24.6 32.1 31.7 25.8 38.1 24.9 26.8 23.4 28.5 28.1 29.3 24.4 23.0 24.8 Jacksonville Kansas City Las Vegas Little Rock Los Angeles Louisville Memphis Miami Milwaukee Minneapolis Nashville New Orleans New York Oklahoma City Orlando Philadelphia 26.2 Phoenix 23.4 Pittsburgh Portland 28.4 20.1 32.2 21.4 23.8 30.7 24.8 23.6 25.3 31.7 43.8 22.0 27.1 34.2 Providence Richmond c. What is the mode for these 48 cities? Select your answer - Sacramento Salt Lake City San Antonio San Diego San Francisco San Jose Seattle St. Louis Tucson Tulsa Washington, D.C. 28.3 25.0 26.4 23.6 23.4 25.8 20.2 26.1 24.8 32.6 28.5…arrow_forwardone standart?arrow_forwardA box and whisker plots show what data?arrow_forward
- Find the median?arrow_forwardThe best predicted weight for a bear with a chest size of 51 inches is ? pounds. Is the result close to the actual weight of 452 pounds? A. This result is very close to the actual weight of the bear. B. This result is close to the actual weight of the bear. C. This result is not very close to the actual weight of the bear. D. This result is exactly the same as the actual weight of the bear.arrow_forwardIdentify the steps in creating the Answer Report.arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillElementary Geometry For College Students, 7eGeometryISBN:9781337614085Author:Alexander, Daniel C.; Koeberlein, Geralyn M.Publisher:Cengage,Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL