Question
In: Statistics and Probability
The marketing manager of a large supermarket chain would like to use shelf space to predict...
The marketing manager of a large supermarket chain would like to use shelf space to predict the sales of pet food. For a random sample of 15 similar stores, she gathered the following information regarding the shelf space, in feet, devoted to pet food and the weekly sales in hundreds of dollars. .
|
Store |
Shelf Space |
Weekly Sales |
|
1 |
5 |
1.3 |
|
2 |
5 |
1.6 |
|
3 |
5 |
1.4 |
|
4 |
10 |
1.7 |
|
5 |
10 |
1.9 |
|
6 |
10 |
2.3 |
|
7 |
15 |
2.2 |
|
8 |
15 |
2 |
|
9 |
15 |
1.8 |
|
10 |
20 |
2.2 |
|
11 |
20 |
2.4 |
|
12 |
20 |
2.9 |
| 13 | 25 | 2.9 |
| 14 | 25 | 2.7 |
| 15 | 25 | 2.5 |
Find the 99% prediction interval for the Weekly Sales when the shelf space is 30. (round to 3 decimal places)
- A.
2.000 < y < 4.000
- B.
2.165 < y < 3.915
- C.
2.325 < y < 3.232
- D.
2.094 < y < 3.927
Solutions
orchestra answered 1 year agoRelated Solutions
The marketing manager of a large supermarket chain would like to use shelf space to predict...
The marketing manager of a large supermarket chain would like to
use shelf space to predict the sales of pet food. A random sample
of 12 equal-sized stores is selected, with the following
results.
Shelf Space
Sales
Aisle Location
5
160
0
5
220
1
5
140
0
10
190
0
10
240
0
10
260
1
15
230
0
15
270
0
15
280
1
20
260
0
20
290
0
20
310
1
A. Construct a scatter plot...
1. The marketing manager of a large supermarket chain would like to use shelf space to...
1. The marketing manager of a large supermarket chain would like
to use shelf space to predict the sales of a specialty pet food.
Data are collected from a random sample of 8 equal-sized stores,
with the following results:
Store
Shelf Space (in square feet)
Weekly Sales (in Dollars)
1
4
120
2
4
150
3
8
160
4
8
180
5
12
200
6
16
210
7
16
240
8
20
260
Use Excel to find the regression results...
The marketing manager of a large super-market chain has the business objective of using shelf space...
The marketing manager of a large super-market chain has the
business objective of using shelf space most efficiently. Toward
that goal, they would like to use shelf space to predict the sales
of a specialty pet food. Data are collected from a random sample of
12 equal-sized store, with the following results: Shelf Space Sales
Aisle Location 5 160 0 5 220 1 5 140 0 10 190 0 10 240 0 10 260 1
15 230 0 15 270...
The marketing manager of a large supermarket chain faced the business problem of determining the effect...
The marketing manager of a large supermarket chain faced the
business problem of determining the effect on the sales of pet food
of shelf space and whether the product was placed at the front
(equals1) or back (equals 0) of the aisle. Data are collected
from a random sample of 12 equal-sized stores and are given below.
Complete parts (a) through (g). For parts (a) through (d), do
not include an interaction term.
Store
Shelf_Space_(Feet)
Location
Weekly_Sales_($)
1
5
Back...
Exhibit 14 -3 A sample of data The marketing manager of a large supermarket chain believes...
Exhibit 14 -3 A sample of data The marketing manager of a large
supermarket chain believes the sales volume, in dollars, of pet
food depends on the amount of shelf space (measured in feet of
shelf space) devoted to pet food. Shelf Space Sales 5 160 5 220 5
140 10 190 10 240 10 260 15 230 15 270 15 280 20 260 20 290 20
310
The proportion of the variation in sales that is explained by
shelf...
Statistics EXERCISE 2. Anna Sheehan is the manager of the Spendwise supermarket chain. She would like...
Statistics
EXERCISE 2. Anna Sheehan is the manager of the
Spendwise supermarket chain. She would like to be able to predict
paperback book sales (books per week) based on the amount of shelf
display space (in feet) provided. Anna gathers data for a sample of
11 weeks.
Week
Number of books sold, Y
Feet of shelf space, X
1
275
6,8
2
142
3,3
3
168
4,1
4
197
4,2
5
215
4,8
6
188
3,9
7
241
4,9
8...
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The manager of a supermarket chain wants to determine if the
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the manager of an amusement park would like to be able to
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The manager of an amusement park would like to be able to predict daily attendance in...
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Yesterday’s attendance
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Predicted weather
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The manager of an amusement park would like to be able to predict daily attendance in...
The manager of an amusement park would like to be able to
predict daily attendance in order to develop more accurate plans
about how much food to order and how many ride operators to hire.
After some consideration, he decided that the following three
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Predicted weather He then took a random sample of 36 days. For each
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