(a) Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the bottom left corner of the plot and moves upward towards the point (539 , 2400). The points are fairly scattered. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 825) and moves upward towards the point (539 , 2300). The points are plotted close together with very little scatter. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 2300) and moves down and to the right - initially steep and nearly vertical then curving to be nearly horizontal - to the point (539 , 825). The points are plotted close together with very little scatter. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. The points plotted from the horizontal axis values of 110 to 500 are evenly scattered between the vertical axis values of 1030 to 1960. Does it appear that there is any relationship between the two variables? There appears to be ---Select--- a positive a negative no linear relationship between two variables. (b) What is the sample correlation coefficient? (Round your answer to two decimal places.) What can you say about the strength of the relationship between Revenue and Value? The sample correlation coefficient indicates ---Select--- a very strong no a very weak linear relationship between the two variables.
(a) Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the bottom left corner of the plot and moves upward towards the point (539 , 2400). The points are fairly scattered. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 825) and moves upward towards the point (539 , 2300). The points are plotted close together with very little scatter. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. Most of the points follow a trend that starts at the point (229 , 2300) and moves down and to the right - initially steep and nearly vertical then curving to be nearly horizontal - to the point (539 , 825). The points are plotted close together with very little scatter. A scatter plot with 32 points is given. The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600. The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500. The points plotted from the horizontal axis values of 110 to 500 are evenly scattered between the vertical axis values of 1030 to 1960. Does it appear that there is any relationship between the two variables? There appears to be ---Select--- a positive a negative no linear relationship between two variables. (b) What is the sample correlation coefficient? (Round your answer to two decimal places.) What can you say about the strength of the relationship between Revenue and Value? The sample correlation coefficient indicates ---Select--- a very strong no a very weak linear relationship between the two variables.
Trigonometry (MindTap Course List)
10th Edition
ISBN:9781337278461
Author:Ron Larson
Publisher:Ron Larson
ChapterP: Prerequisites
SectionP.3: The Cartesian Plane And Graphs Of Equations
Problem 7ECP
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QUESTION 17
DATAfile: NFLTeamValue
In 2014, the 32 teams in the National Football League (NFL) were worth, on average, $1.17 billion, 5% more than in 2013. The following data show the annual revenue ($ millions) and the estimated team value ($ millions) for the 32 NFL teams in 2014.†
Team | Revenue ($ millions) |
Current Value ($ millions) |
---|---|---|
Arizona Cardinals |
253 | 961 |
Atlanta Falcons |
252 | 933 |
Baltimore Ravens |
292 | 1,227 |
Buffalo Bills |
256 | 870 |
Carolina Panthers |
271 | 1,057 |
Chicago Bears |
298 | 1,252 |
Cincinnati Bengals |
250 | 924 |
Cleveland Browns |
264 | 1,005 |
Dallas Cowboys |
539 | 2,300 |
Denver Broncos |
283 | 1,161 |
Detroit Lions |
248 | 900 |
Green Bay Packers |
282 | 1,183 |
Houston Texans |
320 | 1,450 |
Indianapolis Colts |
276 | 1,200 |
Jacksonville Jaguars |
260 | 840 |
Kansas City Chiefs |
245 | 1,009 |
Team | Revenue ($ millions) |
Current Value ($ millions) |
---|---|---|
Miami Dolphins |
268 | 1,074 |
Minnesota Vikings |
234 | 1,007 |
New England Patriots |
408 | 1,800 |
New Orleans Saints |
276 | 1,004 |
New York Giants |
338 | 1,550 |
New York Jets |
321 | 1,380 |
Oakland Raiders |
229 | 825 |
Philadelphia Eagles |
306 | 1,314 |
Pittsburgh Steelers |
266 | 1,118 |
San Diego Chargers |
250 | 949 |
San Francisco 49ers |
255 | 1,224 |
Seattle Seahawks |
270 | 1,081 |
St. Louis Rams |
239 | 875 |
Tampa Bay Buccaneers |
267 | 1,067 |
Tennessee Titans |
270 | 1,055 |
Washington Redskins |
381 | 1,700 |
(a)
Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis.
A scatter plot with 32 points is given.
- The horizontal axis is labeled: Revenue ($ millions), and
ranges from 0 to 600. - The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500.
- Most of the points follow a trend that starts at the bottom left corner of the plot and moves upward towards the point (539 , 2400). The points are fairly scattered.
A scatter plot with 32 points is given.
- The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600.
- The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500.
- Most of the points follow a trend that starts at the point (229 , 825) and moves upward towards the point (539 , 2300). The points are plotted close together with very little scatter.
A scatter plot with 32 points is given.
- The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600.
- The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500.
- Most of the points follow a trend that starts at the point (229 , 2300) and moves down and to the right - initially steep and nearly vertical then curving to be nearly horizontal - to the point (539 , 825). The points are plotted close together with very little scatter.
A scatter plot with 32 points is given.
- The horizontal axis is labeled: Revenue ($ millions), and ranges from 0 to 600.
- The vertical axis is labeled: Current Value ($ millions), and ranges from 0 to 2500.
- The points plotted from the horizontal axis values of 110 to 500 are evenly scattered between the vertical axis values of 1030 to 1960.
Does it appear that there is any relationship between the two variables?
There appears to be ---Select--- a positive a negative no linear relationship between two variables.
(b)
What is the sample correlation coefficient ? (Round your answer to two decimal places.)
What can you say about the strength of the relationship between Revenue and Value?
The sample correlation coefficient indicates ---Select--- a very strong no a very weak linear relationship between the two variables.
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