2.1 Sales personnel want to further develop the model to include other variables. Merchandise Sales ($10,000s) Tickets Sold (1000s) Win or Loss (W or L) Event includes fan giveaway (Y or N) 15 54 W N 17 67 L Y 10 53 L Y 9 49 W Y 16 59 W N 14 58 L Y 12 56 W N 19 63 W Y 18 65 L Y 17 61 L Y Should you keep either or both of the variables in the model and why? What is the regression equation (only include variables that should be in the model)? What is the merchandise sales forecast for 58,000 tickets sold at a winning event that does not include a fan giveaway?
2.1 Sales personnel want to further develop the model to include other variables.
|
Merchandise Sales ($10,000s) |
Tickets Sold (1000s) |
Win or Loss (W or L) |
Event includes fan giveaway (Y or N) |
|
15 |
54 |
W |
N |
|
17 |
67 |
L |
Y |
|
10 |
53 |
L |
Y |
|
9 |
49 |
W |
Y |
|
16 |
59 |
W |
N |
|
14 |
58 |
L |
Y |
|
12 |
56 |
W |
N |
|
19 |
63 |
W |
Y |
|
18 |
65 |
L |
Y |
|
17 |
61 |
L |
Y |
- Should you keep either or both of the variables in the model and why?
- What is the regression equation (only include variables that should be in the model)?
- What is the merchandise sales forecast for 58,000 tickets sold at a winning event that does not include a fan giveaway?
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