Question

Given is a historical time series for job services demand in the prior 6 months. Month...

Given is a historical time series for job services demand in the prior 6 months.

Month

Demand

1

24

2

18

3

23

4

23

5

18

6

19


a) The MAE based on the Exponential smoothing α = 0.2 method =  (4 decimal places)

b) The MAE based on the 3 months moving average method = (in 4 decimal places)

c) Use MAE as an criterion to evaluate forecasting methods I (exponential smoothing, α = 0.2 ) and II (3 month moving average). The most accurate forecasting methods between I and II is method  (enter I or II)

Homework Answers

Answer #1

a)

Time period Actual Value(A) Forecast(F) Forecast error E=A-F Squared Forecast Error
1 24
2 18 24.00 6.00 36.00
3 23 22.80 0.20 0.04
4 23 22.84 0.16 0.03
5 18 22.87 4.87 23.74
6 19 21.90 2.90 8.40
Total 14.13 68.20
Average 2.83 13.6396
MAD MSE

from above MAE =13.6396

b)

3 week
Time period Actual Value(A) Moving avg. Forecast(F) Forecast error E=|A-F| Squared Forecast Error
1 24
2 18
3 23
4 23 21.67 1.33 1.78
5 18 21.33 3.33 11.11
6 19 21.33 2.33 5.44
Total 7.00 18.33
Average 2.33 6.1111
MAD MSE

MAE =6.1111

c)

II

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Given is a historical time series for job services demand in the prior 6 months. Month...
Given is a historical time series for job services demand in the prior 6 months. Month Demand 1 20 2 16 3 17 4 19 5 19 6 19 a) The MAD based on the Exponential smoothing α = 0.3 method =  (4 decimal places). b) The MAD based on the 3 months moving average method =  (in 4 decimal places). c) The MSE based on the 3 months moving average method = . d) Use MAD as an criterion to evaluate...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
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: Month 1 2 3 4 5 6 7 Value 24...
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. Week 1 2 3 4 5 6 Value 19 12...
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 24...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 15 21 12 19 21 16 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) - Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1 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...
The following times series shows the demand for a particular product over the past 10 months....
The following times series shows the demand for a particular product over the past 10 months. Month Value 1 324 2 311 3 303 4 314 5 323 6 313 7 302 8 315 9 312 10 326 a. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE, MAPE and a forecast for month 11. b. Calculate MSE and MAPE for three month moving average ? c. Compare the three-month moving average forecast...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...
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....
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16 (b) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1 25 2 14 3 21 4 13 5 20 6 24 7 16 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for month 8? (c) Use α = 0.2 to compute the exponential smoothing forecasts for the time series. (Round...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...
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...
(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two...
(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 16 2 11 3 13 4 10 5 14 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c) Use α = 0.2 to compute the exponential smoothing forecasts for the time series. Week Time Series Value Forecast 1 16 2 11 3 13 4...