The following tabulations are actual sales of units for six months and a starting forecast in January. FORECAST 85 January February March April May June February March April May June ACTUAL 100 96 a. Calculate forecasts for the remaining five months using simple exponential smoothing with a = 0.4. Note: Round your answers to the nearest whole number. 103 82 66 90 MAD Forecasts b. Calculate the MAD for all the forecasts, including January's. Note: Round your answer to 1 decimal place. 9.7

Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter8: Time Series Analysis And_forecasting
Section: Chapter Questions
Problem 4P: Consider the following time series data: Compute MSE using the most recent value as the forecast...
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The following tabulations are actual sales of units for six months and a starting forecast in January.
FORECAST
85
January
February
March
April
May
June
February
March
a. Calculate forecasts for the remaining five months using simple exponential smoothing with a = 0.4.
Note: Round your answers to the nearest whole number.
April
May
June
ACTUAL
100
96
103
82
66
90
MAD
Forecasts
b. Calculate the MAD for all the forecasts, including January's.
Note: Round your answer to 1 decimal place.
9.7
Transcribed Image Text:The following tabulations are actual sales of units for six months and a starting forecast in January. FORECAST 85 January February March April May June February March a. Calculate forecasts for the remaining five months using simple exponential smoothing with a = 0.4. Note: Round your answers to the nearest whole number. April May June ACTUAL 100 96 103 82 66 90 MAD Forecasts b. Calculate the MAD for all the forecasts, including January's. Note: Round your answer to 1 decimal place. 9.7
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