a. Find the naïve forecast. b. Use the 3 years moving average forecast. c. Have a 5 years weighted moving average. d. Develop forecast using exponential smoothing with a = 0.2. e. Determine the trend line equation and present the forecast. f. Find the best forecast for year 2022.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 28P: The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present...
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Asvnch Problem - Statistical Forecasting
Data Set – Eunice BC Fashion Monthly Sales, in million units.
Year
Total Sales
Year
Total Sales
2010
38
2016
43
2011
41
2017
40
2012
40
2018
45
2013
45
2019
47
2014
50
2020
42
2015
42
2021
48
Questions:
a. Find the naïve forecast.
b. Use the 3 years moving average forecast.
c. Have a 5 years weighted moving average.
d. Develop forecast using exponential smoothing with a = 0.2.
e. Determine the trend line equation and present the forecast.
f. Find the best forecast for year 2022.
Note:
Use the first 5 years as the training samples and the last 5 years as the forecasting samples.
Solve it in Excel Sheet/Sheet with Equations as possible.
Transcribed Image Text:Asvnch Problem - Statistical Forecasting Data Set – Eunice BC Fashion Monthly Sales, in million units. Year Total Sales Year Total Sales 2010 38 2016 43 2011 41 2017 40 2012 40 2018 45 2013 45 2019 47 2014 50 2020 42 2015 42 2021 48 Questions: a. Find the naïve forecast. b. Use the 3 years moving average forecast. c. Have a 5 years weighted moving average. d. Develop forecast using exponential smoothing with a = 0.2. e. Determine the trend line equation and present the forecast. f. Find the best forecast for year 2022. Note: Use the first 5 years as the training samples and the last 5 years as the forecasting samples. Solve it in Excel Sheet/Sheet with Equations as possible.
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