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

When using the exponential smoothing technique to smooth a series the value of the smoothing coefficient (W) should be between -1 and 1 True False

In exponential smoothing the value of the smoothing coefficient (W) should be near one if you would like to give more weights to the most recent observations. True False

Consider the following time series: Period 1 2 3 Demand 15 24 26 Forecast the demand for period 3 using exponential smoothing with W (smoothing coefficient) = 0.4. Express your answer without rounding

Assume that you have a monthly data. A one-month moving average is equivalent to exponentially smoothing with smoothing coefficient (W) equal to ________. a. 0 b. 1 c. 0.9 d. 0.5

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