Question

What is the five period moving average for period 10 for the following data:

Period | Gallons |

1 | 303 |

2 | 282 |

3 | 296 |

4 | 276 |

5 | 288 |

6 | 243 |

7 | 331 |

8 | 298 |

9 | 308 |

(Keep 2 decimal places in your answer)

Your Answer:

Answer #1

*

The accompanying data file contains 10 observations for
t and yt.
A 3-period moving average is plotted along with the actual
series.
a. Comment on smoothing.
The jagged graph represents the original series and the smoother
graph represents its 3-period moving average.
The smoother graph represents the original series and the jagged
graph represents its 3-period moving average.
We cannot tell which graph represents the original series and
which its 3-period moving average.
b-1. Use the 3-period moving average to...

Plot the following data and then calculate and plot a
three-period moving average. then calculate and plot a five-period
moving average. What do you observe in comparing the plots of he
three and five period moving averages?
period
1
2
3
4
5
6
7
8
9
10
demand
60
52
55
42
57
33
26
42
35
31
Develop a forecast for period 11 using expontentional smoothing
and three values of alpha: .05, .30 and .90 Plot actual data...

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...

Refer to the gasoline sales time series data in the given
table.
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)
Compute four-week and five-week moving averages for the time
series.
If required, round your answers to two decimal places.
Week
Sales
4 Period
Moving Average
5 period
Moving Average
1
16
2
22
3
17
4
23
5...

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
16
2
20
3
18
4
22
5
17
6
15
7
20
8
18
9
22
10
20
11
15
12
22
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 recent
observation, compute a three-week weighted...

Refer to the gasoline sales time series data in Table 8.1.
Compute four-week and five-week moving averages for the time
series. Compute the MSE for the four-week and five-week moving
average forecasts. 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 the MSE for the three-week moving average
is 10.22.
Week
Sales (1000s of gallons)
1
17
2
21
3
19
4
23
5...

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
15
2
19
3
17
4
21
5
16
6
14
7
22
8
20
9
24
10
22
11
17
12
24
(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...

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
18
8
16
9
20
10
18
11
13
12
20
(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...

Refer to the gasoline sales time series data in the given
table.
Week
Sales (1000s of gallons)
1
18
2
21
3
18
4
22
5
17
6
15
7
20
8
18
9
21
10
20
11
14
12
22
Compute four-week and five-week moving averages for the time
series. Round your answers to two decimal places.
Week
Sales
4-Week
Moving Average
5-Week
Moving Average
1
18
2
21
3
18
4
22
5
17
6
15
7
20...

Problem 15-07 (Algorithmic)
Refer to the gasoline sales time series data in the given
table.
Week
Sales (1000s of gallons)
1
17
2
21
3
19
4
24
5
18
6
15
7
21
8
19
9
22
10
21
11
16
12
22
Compute four-week and five-week moving averages for the time
series. Round your answers to two decimal places.
Week
Sales
4-Week
Moving Average
5-Week
Moving Average
1
17
2
21
3
19
4
24
5
18
6...

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