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Below is some hypothetical data that shows the Rating (an index of how many peop

ID: 3338581 • Letter: B

Question

Below is some hypothetical data that shows the Rating (an index of how many people watch the show) and Average Cost for a 30-second advertisement for a number of game shows:

GAME SHOW

Rating   

Is That Real Hair?

18.2

$55,000

Feng Shui Happy Booth

8.4

$20,000

Love Signals!

13.6

$26,000

How Many Worms?

11.9

$39,000

Spin the Bottle

9.0

$11,000

Wake that Possum!

22.6

$75,000

Sit on a Potato

3.5

$10,000

Name that Fruit!

2.1

$5,000

The $2.00 Question

4.6

$19,000

Conduct a full (five step) regressional analysis to answer this question:

Within the sample data, is an increase in ratings associated with an increase the average cost for a 30-second ad? If so, how much?

GAME SHOW

Rating   

Average Cost for a 30 Second Ad ($)

Is That Real Hair?

18.2

$55,000

Feng Shui Happy Booth

8.4

$20,000

Love Signals!

13.6

$26,000

How Many Worms?

11.9

$39,000

Spin the Bottle

9.0

$11,000

Wake that Possum!

22.6

$75,000

Sit on a Potato

3.5

$10,000

Name that Fruit!

2.1

$5,000

The $2.00 Question

4.6

$19,000

Explanation / Answer

r (correlation)=n(Exy)-(Ex)(Ey)/(nEx2-(Ex)2)(nEy2-(Ey)2)

                        =9(3913600)-(94)(260000)/ (9*11854000000-(260000)^2)(9*1358-(94)^2)

                        =0.937

r^2=0.88

Hence, we can say that when Average Cost for a 30 Second Ad ($) goes up, rating also goes up. Also, 88% of the variation in rating is accounted for by the Average Cost for a 30 Second Ad ($).

Rating (y) Avg Cost (x) x^2 y^2 xy 18.2 55000 3025000000 331.24 1001000 8.4 20000 400000000 70.56 168000 13.6 26000 676000000 184.96 353600 11.9 39000 1521000000 141.61 464100 9 11000 121000000 81 99000 22.6 75000 5625000000 510.76 1695000 3.5 10000 100000000 12.25 35000 2.1 5000 25000000 4.41 10500 4.6 19000 361000000 21.16 87400 94 260000 11854000000 1358 3913600
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