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Great news! XYZ Advertising has called you in for an interview to join its advertising team. During the interview process, you are expected to solve a linear regression problem. Consider the following data in the table below that show the cost for a Super Bowl ad from the years 1990-2006 and the average number of homes and viewers of the game.

Based on the data in the attached document, please supply the following:

1) Provide graphs of Cost versus Year, Average Number of Homes versus Year, and Average Number of Viewers versus Year.

2) Which pair from the first part has the best linear graph for predicting? Explain.

3) Create prediction equations for all three graphs, and explain what these equations mean.

4) Complete a 5-year prediction for advertising costs. Next, complete a 20-year prediction. Explain the validity in these predictions.

5) In what year would you expect the average number of viewers to reach 100 million? In what year would you expect the average number of homes to reach 50 million? Explain the validity of these predictions.

Objective: Use the Cartesian coordinate system to find the distance between two points; illustrate linear functions and their relationship to business, economics, social science, etc., and find the intersection of two lines.

Year

Cost

Avg.
Number
Home

Avg.
Number
Viewers

1990

700,000

35,920,000

73,852,000

1991

800,000

39,010,000

79,510,000

1992

800,000

37,120,000

79,590,000

1993

850,000

41,990,000

90,990,000

1994

900,000

42,860,000

90,000,000

1995

1,000,000

39,400,000

83,420,000

1996

1,100,000

44,145,000

94,080,000

1997

1,200,000

42,000,000

87,870,000

1998

1,300,000

43,630,000

90,000,000

1999

1,600,000

39,992,000

83,720,000

2000

2,100,000

43,618,000

88,465,000

2001

2,050,000

41,270,000

84,335,000

2002

1,900,000

42,664,000

86,801,000

2003

2,100,000

43,433,000

88,637,000

2004

2,250,000

44,908,000

89,795,000

2005

2,400,000

45,081,000

86,072,000

2006

2,500,000

45,867,000

90,745,000

Reference

"Super Bowl 2007, Advertising History: 40 Years of Prices and Audience." (2008 September 14). Adveristing Age. Retrived September 27, 2008. From http://adage.com/SuperBowlBuyers/superbowlhistory07.html

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