Question

Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for...

Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for periods 3 through 10. Use the value for the first period as the forecast for the second period. Compute forecasts using α = 0.1. Compute the MAD and MSE.

Time period Value
1 27
2 31
3 58
4 63
5 59
6 66
7 71
8 86
9 101
10 97

Group of answer choices

A) MAD=296.6, MSE=1266.5

B) MAD=296.6 , MSE=11398.5

C) MAD=32.9, MSE=1266.5

D) MAD=32.9, MSE=11398.5

Homework Answers

Answer #1
for exponential smoothing: next period forecast =α*last period actual+(1-α)*last period forecast
period value forecast error error^2
1 27
2 31 27.00 4.000 16.000
3 58 27.40 30.600 936.360
4 63 30.46 32.540 1058.852
5 59 33.71 25.286 639.382
6 66 36.24 29.757 885.503
7 71 39.22 31.782 1010.074
8 86 42.40 43.603 1901.265
9 101 46.76 54.243 2942.319
10 97 52.18 44.819 2008.728
11 56.66
average 32.9 1266.5
MAE MSE

option C is correct :MAD =32.9   ; MSE =1266.5

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
Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for...
Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for periods 3 through 10. Use the value for the first period as the forecast for the second period. Compute forecasts using α = 0.8. Compute the MAD and MSE. Time period Value 1 27 2 31 3 58 4 63 5 59 6 66 7 71 8 86 9 101 10 97
Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for...
Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for periods 3 through 10. Use the value for the first period as the forecast for the second period. Compute forecasts using α = 0.8. Compute the MAD and MSE. Time period Value 1 27 2 31 3 58 4 63 5 59 6 66 7 71 8 86 9 101 10 97 Group of answer choices a) MAD=9.7, MSE=1585.6 b) MAD=9.7, MSE=176.2 c) MAD=10.2,...
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...
The actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods...
The actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods 6-13 using each of the following methods: 5 period simple moving average; 4 period weighted moving average (0.63, 0.26, 0.08, 0.03); exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); linear regression with the equation based on all 12 periods; and quadratic regression with the equation based on all 12 periods.  Round all numerical answers to two decimal places. A. The...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
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...
(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...
Instructions The Data contains the actual values for 12 periods (listed in order, 1-12). In Excel,...
Instructions The Data contains the actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods 6-13 using each of the following methods: 5 period simple moving average; 4 period weighted moving average (0.63, 0.26, 0.08, 0.03); exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); linear regression with the equation based on all 12 periods; and quadratic regression with the equation based on all 12 periods.  Round all numerical answers to two...
Question 1 contains the actual values for 12 periods (listed in order, 1-12). In Excel, create...
Question 1 contains the actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods 6-13 using each of the following methods: 5 period simple moving average; 4 period weighted moving average (0.63, 0.26, 0.08, 0.03); exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); linear regression with the equation based on all 12 periods; and quadratic regression with the equation based on all 12 periods. Round all numerical answers to two...
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...
Using ? = 0.5 and the following data, compute exponential smoothing forecasts for periods 2 through...
Using ? = 0.5 and the following data, compute exponential smoothing forecasts for periods 2 through 8. (Round your intermediate calculations and final answers to 2 decimal places.) Period: 1 2 3 4 5 6 7 Forecast: 10 Actual demand: 12 15 11 13 11 11 10