The monthly sales for Yazici Batteries, Inc., were as follows:
Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec
Sales 19 21 17 14 11 18 16 19 20 20 23 23
b) The forecast for the next month (Jan) using the naive method (round your response to a whole number)
The forecast for the next period (Jan) using a 3-month moving average approach =
(round your response to two decimal places)
The forecast for the next period (Jan) using a 6-month weighted average with weights of
and
where the heaviest weights are applied to the most recent month = (round your response to one decimalplace)
Using exponential smoothing with
alphaα
=
and a September forecast of
the forecast for the next period (Jan) =
sales (round your response to two decimal places).
Using a method of trend projection, the forecast for the next month (Jan) =
sales (round your response to two decimal places).
c) The method that can be used for making a forecast for the month of March is
Only the naiive forecast and moving average forecast is possible because the weights and smoothing constant values are not appearing in the rest part of the question.
Naive forecast for Jan = Actual of Dec = 23.00
The 3-month moving average forecast = (20+23+23) / 3 = 22.00
Trend projection
Slope | 0.472 | ||
Intercept | 15.348 | ||
Month | t | Sales | Forecast |
Jan | 1 | 19 | 15.82 |
Feb | 2 | 21 | 16.29 |
Mar | 3 | 17 | 16.76 |
Apr | 4 | 14 | 17.24 |
May | 5 | 11 | 17.71 |
Jun | 6 | 18 | 18.18 |
Jul | 7 | 16 | 18.65 |
Aug | 8 | 19 | 19.12 |
Sept | 9 | 20 | 19.60 |
Oct | 10 | 20 | 20.07 |
Nov | 11 | 23 | 20.54 |
Dec | 12 | 23 | 21.01 |
Jan | 13 | 21.48 |
So, the forecast for Jan using trend projection is 21.48
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