For a Simple Exponential Smoothing (SES) model which of the following statements is correct Select one: a. Smaller values of alpha (i.e. close to zero) tend to more heavily weight the most recent sales and will reduce error when the data fluctuates considerably b. Increasing the value of alpha significantly (i.e. making it close to one) will tend to smooth the series more and give the distant past values of sales a relatively greater weighting c. Increasing the value of alpha significantly (i.e. making it close to one) tends to more heavily weight the most recent sales and should be used when the series is relatively stable d. The value of alpha should be set by prior research and should not be arbitrarily changed by the forecaster e. The likely effect the magnitude of alpha has on the SES forecasts can not be generalised
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SES is a time series forecasting method for univariate data that can be used when there is no trend or seasonal pattern to the data. It requires a single parameter, alpha (α), which is called the smoothing factor. This factor controls the rate at which the Show more…
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