Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal places.) Week Time Series Value Forecast 1 17 2 21 3 20 4 23 5 18 6 17 7 20 8 17 9 23 10 21 11 15 12 23 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of ? = 0.1 or ? = 0.2 for the gasoline sales time series? (Round your answers to two decimal places.) Using ? = 0.1 MSE is , and using ? = 0.2 MSE is , so we would prefer a smoothing constant of --?-- 0.1 0.2 . (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using ? = 0.1 MAE is , and using ? = 0.2 MAE is , so the results ---Select--- are are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using ? = 0.1 MAPE is %, and using ? = 0.2 MAPE is %, so we would prefer a smoothing constant of --?-- 0.1 0.2
Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal places.) Week Time Series Value Forecast 1 17 2 21 3 20 4 23 5 18 6 17 7 20 8 17 9 23 10 21 11 15 12 23 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of ? = 0.1 or ? = 0.2 for the gasoline sales time series? (Round your answers to two decimal places.) Using ? = 0.1 MSE is , and using ? = 0.2 MSE is , so we would prefer a smoothing constant of --?-- 0.1 0.2 . (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using ? = 0.1 MAE is , and using ? = 0.2 MAE is , so the results ---Select--- are are not the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using ? = 0.1 MAPE is %, and using ? = 0.2 MAPE is %, so we would prefer a smoothing constant of --?-- 0.1 0.2
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter4: Exponential Functions
Section4.4: Modeling Nearly Exponential Data
Problem 9E: Special Rounding Instructions For this exercise set, round all regression parameters to three...
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Question
Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal places.)
Week | Time Series Value |
Forecast |
---|---|---|
1 | 17 | |
2 | 21 | |
3 | 20 | |
4 | 23 | |
5 | 18 | |
6 | 17 | |
7 | 20 | |
8 | 17 | |
9 | 23 | |
10 | 21 | |
11 | 15 | |
12 | 23 |
(b)
Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of ? = 0.1 or ? = 0.2 for the gasoline sales time series? (Round your answers to two decimal places.)
Using ? = 0.1 MSE is , and using ? = 0.2 MSE is , so we would prefer a smoothing constant of --?-- 0.1 0.2 .
(c)
Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.)
Using ? = 0.1 MAE is , and using ? = 0.2 MAE is , so the results ---Select--- are are not the same as applying MSE as our measure of accuracy.
(d)
What are the results if MAPE is used? (Round your answers to two decimal places.)
Using ? = 0.1 MAPE is %, and using ? = 0.2 MAPE is %, so we would prefer a smoothing constant of --?-- 0.1 0.2
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