462 Statistical Methods
4 Click the Linear Trend option button to add a linear trend to the
forecasted temperature values.
5 Click the Output button and specify the worksheet Smoothed
Temperatures 2 as the output worksheet. Click the OK button twice.
Figure 11-20 shows the forecasted temperature values using two-parameter
exponential smoothing.
Figure 11-20
Forecasting
global
temperatures
with
two-parameter
exponential
smoothing
By adding the trend parameter our smoothed values have picked up the
recent trend in rising global temperatures indicated in the data. At this point
you can close the Global Temperature Analysis workbook.
Seasonality
Often time series are measured on a seasonal basis, such as monthly or
quarterly. If the data are sales of ice cream, toys, or electric power, there is
a pattern that repeats each year. Ice cream and electric power sales are high
in the summer, and toy sales are high in December.
Multiplicative Seasonality
If the sales of some of your products are seasonal, you might want to adjust
your sales for the seasonal effect, in order to compare fi gures from month
to month. To compare November and December sales, should you use the