Question

Month |
1 | 2 | 3 | 4 | 5 | 6 | 7 |

Value |
22 | 13 | 18 | 12 | 18 | 23 | 14 |

Consider the time series data

**b.** Develop the three-month moving average
forecasts for this time series. Compute MSE and a forecast for
month 8 (to 2 decimals if necessary). Enter negative values as
negative number.

Month |
Time Series Value |
Forecast |
Forecast Error |
Squared Forecast Error |

Totals |

MSE | |

The forecast for month 8 |

**c.** Use a=.2 to compute the exponential
smoothing forecasts for the time series. Compute MSE and a forecast
for month 8 (to 2 decimals). Enter negative values as negative
number.

Month |
Time Series Value |
Forecast |
Forecast Error |
Squared Forecast Error |

Totals |

MSE | |

The forecast for month 8 |

**d.** Compare the three-month moving average
approach with the exponential smoothing approach using a=.2 . Which
appears to provide more accurate forecasts based on MSE?

**e.** Use a smoothing constant of a=.4 to compute
the MSE. (to 2 decimals).

Does a smoothing constant of .4 or .2 appear to provide more accurate forecasts based on MSE?

Answer #1

b)

month | value | forecast | error | error^2 |

1 | 22 | |||

2 | 13 | |||

3 | 18 | |||

4 | 12 | 17.67 | -5.67 | 32.11 |

5 | 18 | 14.33 | 3.67 | 13.44 |

6 | 23 | 16.00 | 7.00 | 49.00 |

7 | 14 | 17.67 | -3.67 | 13.44 |

total | 108.00 |

MSE =27.00

forecast =18.33

c)

month | value | forecast | error | error^2 |

1 | 22 | |||

2 | 13 | 22.00 | -9.00 | 81.00 |

3 | 18 | 20.20 | -2.20 | 4.84 |

4 | 12 | 19.76 | -7.76 | 60.22 |

5 | 18 | 18.21 | -0.21 | 0.04 |

6 | 23 | 18.17 | 4.83 | 23.36 |

7 | 14 | 19.13 | -5.13 | 26.35 |

18.11 | total | 195.81 |

MSE =32.64

forecast =18.10

d)

The three-month moving average provides a better forecast since it has a smaller MSE | |||||||

e)

MSE=32.08

0.4 is better

Month
1
2
3
4
5
6
7
Value
23
14
18
14
20
23
16
b. Develop the three-month moving average
forecasts for this time series. Compute MSE and a forecast for
month (to 2 decimals if necessary). Enter negative
values as negative number.
c. Use alpha=.2 to compute the exponential
smoothing forecasts for the time series. Compute MSE and a forecast
for month (to 2 decimals). Enter negative values as
negative number.
d. Compare the three-month moving average
approach with...

Consider the following time series data.
Month
1
2
3
4
5
6
7
Value
24
13
18
12
18
23
15
b. Develop the three-month moving average
forecasts for this time series. Compute MSE and a forecast for
month 8
(to 2 decimals if necessary). Enter negative values as negative
number.
Month
Time Series
Value
Forecast
Forecast
Error
Squared Forecast
Error
1
24
2
13
3
18
4
12
?
?
?
5
18
?
?
?
6
23...

Consider the following time series data.
Month
1
2
3
4
5
6
7
Value
22
11
18
10
17
21
13
A) What type of pattern exists in the data?
The data appear to follow a seasonal pattern.
The data appear to follow a trend
pattern.
The data appear to follow a horizontal pattern.
The data appear to follow a cyclical pattern.
B) Develop the three-month moving average forecasts for this
time series.
Month
Time Series
Value
Forecast
1...

Consider the following time series data.
Week
1
2
3
4
5
6
Value
19
12
16
11
18
13
(b)
Develop the three-week moving average forecasts for this time
series. (Round your answers to two decimal places.)
Week
Time Series
Value
Forecast
1
19
2
12
3
16
4
11
5
18
6
13
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7?
(c)
Use α = 0.2 to compute...

Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
23
13
21
13
19
21
17
(a)
Create a time series plot.
What type of pattern exists in the data?
- Select your answer -Positive trend patternHorizontal
patternVertical patternNegative trend patternItem 2
(b)
Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not
round intermediate calculation....

Consider the following time series data:
Month
1
2
3
4
5
6
7
Value
24
13
20
12
19
23
15
Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not
round intermediate calculation.
MSE:
The forecast for month 8:
(c)
Use α = 0.2 to compute the exponential smoothing values
for the time series. Compute MSE and a forecast for...

Consider the following time series data:
Month 1 2 3 4 5 6 7
Value 23 13 21 13 19 21 17
b)
Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8.
If required, round your answers to two decimal places. Do not
round intermediate calculation.
MSE:
The forecast for month 8:
(c)
Use α = 0.2 to compute the exponential smoothing
values for the time series. Compute MSE and a forecast...

Month
1 2 3 4 5 6 7
Value
24 15 21 13 19 21 16
a) Develop a three-month moving average for this time series.
Compute MSE and a forecast for month 8. If required, round your
answers to two decimal places. Do not round intermediate
calculation. MSE:_______ The forecast for month 8________
b) Use α = 0.2 to compute the exponential smoothing values for
the time series. Compute MSE and a forecast for month 8. If
required, round...

Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
13
15
12
16
14
c)Use α = 0.2 to compute the exponential smoothing
forecasts for the time series.
Week
Time Series
Value
Forecast
1
18
2
13
18
3
15
4
12
5
16
6
14
Compute MSE. (Round your answer to two decimal places.)
MSE =____
What is the forecast for week 7? (Round your answer to two
decimal places.)
____
(e)Use a...

Consider the following time series data.
Week
1
2
3
4
5
6
Value
18
13
16
11
17
14
A) What type of pattern exists in the data? (HORIZONTAL
OR TREND)
B) Develop a three-week moving average for this time series.
Compute MSE and a forecast for week 7. If required, round your
answers to two decimal places.
Week
Time Series
Value
Forecast
1
18
2
13
3
16
4
11
_______
5
17
_______
6
14
_______
MSE:...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 10 minutes ago

asked 12 minutes ago

asked 12 minutes ago

asked 15 minutes ago

asked 18 minutes ago

asked 22 minutes ago

asked 24 minutes ago

asked 28 minutes ago

asked 29 minutes ago

asked 31 minutes ago

asked 33 minutes ago

asked 37 minutes ago