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1. Simple linear regression looks at the relationship between an independent and a dependent variable. Give a real-world example of two variables that have this special relationship.
2. Complete the following assignment:
See attached Excel file that displays the relationship between
the annual revenue in millions (x variable) and the current value
in millions (y variable)
of 30 professional basketball teams.
Press SCATTERPLOT tab on bottom ribbon to see the data points and
trendline. Return to DATA tab on bottom ribbon.
Change values in CURRENT VALUE column D to any 3 digit values you
choose.
Click SCATTERPLOT tab to see your datapoints and trendline.
To find linear regression equation, right click any data point,
click ADD A TRENDLINE.
Scroll down to check boxes: DISPLAY EQUATION, DISPLAY R-SQUARED
VALUE (This is the coeffiecient of determination.)
On your Excel sheet below your scatterplot, (1) identify and
interpret the slope of your equation
(2) identify and interpret the y-intercept of your equation
(3) identify and interpret the R-Squared value: what does it tell
you about this relationship
(4) Save your file and post it on this week's Discussion Board.
Team Name | Team Code | Revenue ($mil) | Current Value ($mil) | |
Atlanta Hawks | ATL | 105 | 295 | |
Boston Celtics | BOS | 151 | 452 | |
Charlotte Bobcats | CHA | 98 | 281 | |
Chicago Bulls | CHI | 169 | 511 | |
Cleveland Cavaliers | CLE | 161 | 355 | |
Dallas Mavericks | DAL | 146 | 438 | |
Denver Nuggets | DEN | 113 | 316 | |
Detroit Pistons | DET | 147 | 360 | |
Golden State Warriors | GSW | 119 | 363 | |
Houston Rockets | HOU | 153 | 443 | |
Indiana Pacers | IND | 95 | 269 | |
Los Angeles Clippers | LAC | 102 | 305 | |
Los Angeles Lakers | LAL | 214 | 643 | |
Memphis Grizzlies | MEM | 92 | 266 | |
Miami Heat | MIA | 124 | 425 | |
Milwaukee Bucks | MIL | 92 | 258 | |
Minnesota Timberwolves | MIN | 95 | 264 | |
New Jersey Nets | NJN | 89 | 312 | |
New Orleans Hornets | NOH | 100 | 280 | |
New York Knicks | NYK | 226 | 655 | |
Oklahoma City Thunder | OKC | 118 | 329 | |
Orlando Magic | ORL | 108 | 385 | |
Philadelphia 76ers | PHI | 110 | 330 | |
Phoenix Suns | PHX | 147 | 411 | |
Portland Trail Blazers | POR | 127 | 356 | |
Sacramento Kings | SAC | 103 | 293 | |
San Antonio Spurs | SAS | 135 | 404 | |
Toronto Raptors | TOR | 138 | 399 | |
Utah Jazz | UTA | 121 | 343 | |
Washington Wizards | WAS | 107 | 322 |
(1) identify and interpret the slope of your equation
The slope is 2.768.
For every additional revenue, current value will increase by
2.768.
(2) identify and interpret the y-intercept of your equation
The y-intercept is 17.647.
When the additional revenue is constant, the current value will
increase by 17.647, on average.
(3) identify and interpret the R-Squared value: what does it tell
you about this relationship
R-Squared = 0.889
88.9% of the variability in the current value is explained by
the additional revenue.
(4) Save your file and post it on this week's Discussion Board.
The scatterplot is:
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