The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attem (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season. Team Yards/Attempt WinPct Arizona Cardinals 6.5 50 Atlanta Falcons 7.1 63 Carolina Panthers 7.4 38 Chicago Bears 6.4 50 Dallas Cowboys 7.4 s0 New England Patriots 8.3 81 Philadelphia Eagles 7.4 50 Seattle Seahawks 6.1 44 St. Louis Rams 5.2 13 Tampa Bay Buccaneers 6.2 25 (a) Develop a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. 90 80- 90 T 80- 70- 60 50- 90 90 80 80- 70 70 70 60 60 60 50 E 40- 50 3 40 50 .. 40- 40 30- 30 30 30 20 20 20 20 10 10 10 10 % UIM
The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attem (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season. Team Yards/Attempt WinPct Arizona Cardinals 6.5 50 Atlanta Falcons 7.1 63 Carolina Panthers 7.4 38 Chicago Bears 6.4 50 Dallas Cowboys 7.4 s0 New England Patriots 8.3 81 Philadelphia Eagles 7.4 50 Seattle Seahawks 6.1 44 St. Louis Rams 5.2 13 Tampa Bay Buccaneers 6.2 25 (a) Develop a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. 90 80- 90 T 80- 70- 60 50- 90 90 80 80- 70 70 70 60 60 60 50 E 40- 50 3 40 50 .. 40- 40 30- 30 30 30 20 20 20 20 10 10 10 10 % UIM
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season.
| Team | Yards/Attempt | WinPct |
|----------------------|---------------|--------|
| Arizona Cardinals | 6.5 | 50 |
| Atlanta Falcons | 7.1 | 63 |
| Carolina Panthers | 7.4 | 38 |
| Chicago Bears | 6.4 | 50 |
| Dallas Cowboys | 7.4 | 50 |
| New England Patriots | 8.3 | 81 |
| Philadelphia Eagles | 7.4 | 50 |
| Seattle Seahawks | 6.1 | 44 |
| St. Louis Rams | 5.2 | 13 |
| Tampa Bay Buccaneers | 6.2 | 25 |
(a) Develop a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis.
Three scatter diagrams are displayed, each with "Yards/Attempt" on the horizontal axis and "Win %" on the vertical axis. Data points are plotted to show the relationship between these two variables.
(b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
- The scatter diagram indicates a positive linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
- The scatter diagram indicates no noticeable linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
- The scatter diagram indicates a negative linear relationship between average number of passing yards per attempt and the percentage of games won by the team.
Each statement is accompanied by a selection circle for users to choose an answer based on their interpretation of the scatter diagrams.
![**(c)** Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to three decimal places.)
\[ \hat{y} = \text{__________} \]
**(d)** Provide an interpretation for the slope of the estimated regression equation.
- ○ The slope gives the change in the average number of passes per attempt for every one percentage point increase in the percentage of games won.
- ○ The slope gives the change in the percentage of games won for every one yard increase in the average number of passes per attempt.
- ○ The slope gives the average number of passes per attempt when the percentage of games won is 0%.
- ○ The slope gives the change in the average number of passes per attempt for every one percentage point decrease in the percentage of games won.
- ○ The slope gives the percentage of games won when the average number of passes per attempt is 0.
**(e)** For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team was 6.4. Use the estimated regression equation developed in part (c) to predict the percentage of games won by that NFL team. (Note: For the 2011 season, suppose this NFL team’s record was 8 wins and 8 losses. Round your answer to the nearest integer.)
\[ \text{__________} \% \]
Compare your prediction to the actual percentage of games won by this NFL team.
- ○ The predicted value is higher than the actual value.
- ○ The predicted value is lower than the actual value.
- ○ The predicted value is identical to the actual value.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F358923dd-976b-4983-a367-bafd3b4b55c1%2Fe247ca18-2fc1-496d-bc8f-ec11244338fd%2F0wnoo78_processed.png&w=3840&q=75)
Transcribed Image Text:**(c)** Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to three decimal places.)
\[ \hat{y} = \text{__________} \]
**(d)** Provide an interpretation for the slope of the estimated regression equation.
- ○ The slope gives the change in the average number of passes per attempt for every one percentage point increase in the percentage of games won.
- ○ The slope gives the change in the percentage of games won for every one yard increase in the average number of passes per attempt.
- ○ The slope gives the average number of passes per attempt when the percentage of games won is 0%.
- ○ The slope gives the change in the average number of passes per attempt for every one percentage point decrease in the percentage of games won.
- ○ The slope gives the percentage of games won when the average number of passes per attempt is 0.
**(e)** For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team was 6.4. Use the estimated regression equation developed in part (c) to predict the percentage of games won by that NFL team. (Note: For the 2011 season, suppose this NFL team’s record was 8 wins and 8 losses. Round your answer to the nearest integer.)
\[ \text{__________} \% \]
Compare your prediction to the actual percentage of games won by this NFL team.
- ○ The predicted value is higher than the actual value.
- ○ The predicted value is lower than the actual value.
- ○ The predicted value is identical to the actual value.
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