Which of the following is the right basis for assigning weights to the past observations in the Exponential smoothing forecasting technique?Answer choicesSelect only one optionREVISITDistance from the present timeMagniture of the observationsPosition in the dataTime of occurrence

Which of the following uses a weighted average of past time series values as the forecast?Group of answer choicesThe qualitative methodExponential smoothingCorrelation analysisThe causal model

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

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)

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

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