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

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

The forecast method which considers the error in forecasting of recent data- Simple average method Moving average method Weighted moving average method Exponential smoothing method (Correct)

recommendation to a company after forecasting sales through Holt's method, Moving Average and exponential smoothing.

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

Which method is often used for long-term energy forecasting to account for future changes in energy policies, technology advancements, and socioeconomic factors?*a) Scenario analysisb) Time series analysisc) Exponential smoothingd) Moving average forecasting