(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)
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ISBN:9781337278461
Author:Ron Larson
Publisher:Ron Larson
ChapterP: Prerequisites
SectionP.3: The Cartesian Plane And Graphs Of Equations
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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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