Question
In: Physics
Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.
Refer to the gasoline sales time series data in the given table.
| Week | Sales (1000s of gallons) |
| 1 | 18 |
| 2 | 21 |
| 3 | 19 |
| 4 | 22 |
| 5 | 18 |
| 6 | 16 |
| 7 | 20 |
| 8 | 19 |
| 9 | 23 |
| 10 | 19 |
| 11 | 16 |
| 12 | 22 |
- Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.
Week
Sales4-Week
Moving Average5-Week
Moving Average1 18 2 21 3 19 4 22 5 18 6 16 7 20 8 19 9 23 10 19 11 16 12 22 - Compute the MSE for the four-week and five-week moving average forecasts. Round your intermediate calculations and final answers to two decimal places.
MSE for four-week moving average =
MSE for five-week moving average = - What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Recall that MSE for the three-week moving average is 9.
Solutions
genius_generous answered 2 years agoRelated Solutions
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
17
2
23
3
14
4
25
5
17
6
16
7
22
8
19
9
21
10
19
11
17
12
23
(a)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
16
2
22
3
17
4
23
5
15
6
17
7
21
8
19
9
20
10
18
11
15
12
23
(a)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
17
2
21
3
16
4
24
5
17
6
18
7
22
8
20
9
21
10
19
11
16
12
25
(a)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
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)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
17
2
21
3
16
4
24
5
17
6
18
7
22
8
20
9
21
10
19
11
16
12
25
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales
time series?
An - Select your answer -α = 0.1α...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
17
2
21
3
16
4
24
5
17
6
18
7
22
8
20
9
21
10
19
11
16
12
25
(a)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
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)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits. Week...
Consider the following gasoline sales time series. If needed,
round your answers to two-decimal digits.
Week
Sales (1,000s of gallons)
1
18
2
22
3
15
4
24
5
18
6
15
7
21
8
19
9
21
10
20
11
16
12
22
(a)
Show the exponential smoothing forecasts using α = 0.1, and α =
0.2.
Exponential
Smoothing
Week
α = 0.1
α = 0.2
13
(b)
Applying the MSE measure of forecast accuracy, would you prefer
a...
Given are five observations for two variables, x and y. (Round your answers to two decimal places.)
Given are five observations for two variables, x and y. (Round your answers to two decimal places.)
xi 1 2 3 4 5
yi 3 8 6 10 15
(a) Use sŷ* = s 1 n + (x* − x)^2 / Σ(xi − x)^2 to estimate the standard deviation of ŷ* when x = 5.
(b) Use Sŷ* ± tα/2sŷ* to develop a 95% confidence interval for the expected value of y when x = 5.
____to____
(c) Use spred...
Solve ΔABC. (Round your answers to two decimal places. If there is no solution, enter NO...
Solve ΔABC. (Round your answers to two decimal places.
If there is no solution, enter NO SOLUTION.)
α = 47.16°, a =
5.04, b = 6.17
smaller c:
c =
β =
°
γ =
larger c:
c =
β =
°
γ =
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