How does the choice of smoothing parameter affect the exponential smoothing model?Answer choicesSelect only one optionREVISITA higher value makes the forecast more responsive to changesA higher value makes the forecast less responsive to changesThe choice of smoothing parameter has no effect on the modelA lower value makes the forecast more responsive to changes

Exponential smoothing forecasts are more sensitive or reactive to the changes in demand as the value of the smoothing constant, α, ________.Group of answer choicesalpha does not affect thisincreasesstays the samedecreases

What is the best way to compare the performance of exponential smoothing models with different parameter choices?Answer choicesSelect only one optionREVISITUsing a holdout sample to test forecast accuracyComparing the smoothing parametersComparing the number of observationsComparing the mean of the forecasts

What are the characteristics of the Double exponential smoothing forecasting models?Answer choicesSelect only one optionREVISITNo level, only Seasonality and trend based forecastingNo trend, only seasonality and level based forecastingNo seasonality, only level and trend based forecastingSeasonality, level and trend based forecasting

Though the selection of smoothing coefficient (W) you assign to the annual time series with exponential smoothing is somewhat subjective, you should select a small value for W if your goal is ______. a. forecasting b. only to smooth a series by eliminating unwanted cyclical and irregular variations c. only to smooth a series of by eliminating important cyclical variations d. only to smooth a series by eliminating important irregular variations

Which of the following is not a correct reason for the popularity of using exponential smoothing as a forecasting technique in the industry? Exponential smoothing requires minimal dataMathematics of the technique are easy to understandThis technique has a good track record of success historicallyComputer software packages exclude exponential smoothing