Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
13th Edition
ISBN: 9781337148092
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 15.2, Problem 9E

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

  1. a. Develop an estimated regression equation that can be used to predict the average number of yards per drive given the club head speed.
  2. b. Develop an estimated regression equation that can be used to predict the average number of yards per drive given the ball speed.
  3. 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.
  4. 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.
  5. 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.

Expert Solution
Check Mark
To determine

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 Total Distance^=124.72+1.3943Club Head Speed.

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 y^=b0+b1x1+...+bpxp where y^ is the predicted value of response or dependent variable, and x1,x2,...,xp are the k predictor variables. The quantities b1,b2,...,bp are the estimated slopes corresponding to x1,x2,...,xp, respectively and b0 is the estimated intercept of the line, from the sample data.

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,

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card, Chapter 15.2, Problem 9E , additional homework tip  1

Thus, the estimated regression equation that could be used to predict the average number of yards per drive given the club head speed is Total Distance^=124.72+1.3943Club Head Speed.

b.

Expert Solution
Check Mark
To determine

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 Total Distance^=117.14+0.9876BallSpeed.

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,

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card, Chapter 15.2, Problem 9E , additional homework tip  2

Thus, the estimated regression equation that could be used to predict the average number of yards per drive given the ball speed is Total Distance^=117.14+0.9876BallSpeed.

c.

Expert Solution
Check Mark
To determine

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,

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card, Chapter 15.2, Problem 9E , additional homework tip  3

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,

Total Sistance^=113.852.231Club Head+2.515BallSpeed.

In the given output, R2=77.14%.

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,

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card, Chapter 15.2, Problem 9E , additional homework tip  4

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.

Expert Solution
Check Mark
To determine

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,

Total Distance^=81.60+1.0927Ball Speed+1.646Launch Angle.

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,

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card, Chapter 15.2, Problem 9E , additional homework tip  5

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,

Total Distance^=81.60+1.0927Ball Speed+1.646Launch Angle.

e.

Expert Solution
Check Mark
To determine

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 Total Sistance^=81.60+1.0927Ball Speed+1.646Launch Angle.

Thus, the predicted average number of yards per drive for the new player is,

Total Sistance^=81.60+1.0927(170)+1.646(11)=81.60+185.759+18.106=285.465

Thus, the predicted average number of yards per drive for the new player is 285.465 yards.

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Chapter 15 Solutions

Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card

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