Question
In: Finance
Problem 1: The following table shows the number of gallons of gasoline sold by a gasoline...
Problem 1: The following table shows the number of gallons of gasoline sold by a gasoline distributor in Providence, Rhode Island, over the past 7 weeks. Forecast sales using a 3-week weighted moving average where the weights are 3, 2, and 1.
| Week | Sales (100s of Gallons) |
| 1 | 17 |
| 2 | 21 |
| 3 | 19 |
| 4 | 23 |
| 5 | 18 |
| 6 | 16 |
| 7 | 20 |
Solutions
Expert Solution
3 week weighted moving average is calculated with the help of weights given as 3,2 and 1. For the nearest week, the highest weight is considered.
In this case, F4 = 3*Sales of week 3 + 2*Sales of week 2 + 1*Sales of week 1. similarly for other weeks.
Solution is in the below image.
jeff jeffy answered 2 years agoRelated Solutions
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Suppose these data show the number of gallons of gasoline sold
by a gasoline distributor in Bennington, Vermont, over the past 12
weeks.
Week
Sales (1,000s
of gallons)
1
17
2
21
3
19
4
23
5
18
6
16
7
21
8
19
9
23
10
21
11
16
12
23
(a) Using a weight of 1/2 for the most recent
observation, 1/3 for the second most recent observation, and
1/6 for third most recent observation, compute a
three-week weighted moving...
These data show the number of gallons of gasoline sold by a gasoline distributor in Bennington,...
These data show the number of gallons of gasoline sold by a
gasoline distributor in Bennington, Vermont, over the past 12
weeks.
Week
Sales (1,000s
of gallons)
1
17
2
21
3
19
4
23
5
18
6
16
7
20
8
18
9
22
10
20
11
15
12
22
(a)
Compute four-week and five-week moving averages for the time
series.
Week
Time Series
Value
4-Week
Moving
Average
Forecast
5-Week
Moving
Average
Forecast
1
17
2
21
3
19...
Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in...
Suppose these data show the number of gallons of gasoline sold
by a gasoline distributor in Bennington, Vermont, over the past 12
weeks.
Week
Sales (1,000s
of gallons)
1
17
2
22
3
20
4
24
5
19
6
17
7
21
8
18
9
23
10
21
11
16
12
22
(a)
Compute four-week and five-week moving averages for the time
series.
Week
Time Series
Value
4-Week
Moving
Average
Forecast
5-Week
Moving
Average
Forecast
1
17
2
22
3...
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16
2.0
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15
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9
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9
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86
4
93
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101
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107
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14
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