HP 12C#ABA hp 12c_solutions handbook_English_E.pdf - Page 88

Forecasting with Exponential Smoothing

Page 88 highlights

present trend continues? What annual sales rate would the curve have predicted for the 5th year of the product's life? (Arrange the data as follows:) Group Group Group I II III 18 151 282 41 188 322 49 260 340 Keystrokes CLEAR 18 151 282 41 188 322 49 260 340 13 6 7 10 12 100 5 Display 0.00 18.00 151.00 1.00 41.00 188.00 2.00 49.00 260.00 3.00 0.004 0.65 373.92 349.09 363.36 373.92 202.60 Total number of entries. a b c Sales in 10th year, (in $K). Sales in 12th year, (in $K). Maximum annual sales (after very long product life). Sales in 5th year (actual sales were $188K). Forecasting with Exponential Smoothing A common method for analyzing trends in sales, inventory and securities is the moving average. Exponential smoothing is a version of the weighted moving average which is readily adaptable to programmable calculator forecasting. 87

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87
present trend continues? What annual sales rate would the curve have
predicted for the 5th year of the product's life? (Arrange the data as
follows:)
Forecasting with Exponential Smoothing
A common method for analyzing trends in sales, inventory and securities
is the moving average. Exponential smoothing is a version of the weighted
moving average which is readily adaptable to programmable calculator
forecasting.
Group
I
Group
II
Group
III
18
151
282
41
188
322
49
260
340
Keystrokes
Display
CLEAR
0.00
18
18.00
151
151.00
282
1.00
41
41.00
188
188.00
322
2.00
49
49.00
260
260.00
340
3.00
Total number of entries.
13
0.004
a
6
0.65
b
7
373.92
c
10
349.09
Sales in 10th year, (in $K).
12
363.36
Sales in 12th year, (in $K).
100
373.92
Maximum annual sales (after very
long product life).
5
202.60
Sales in 5th year (actual sales
were $188K).