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

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

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

Which of the following models would you strongly recommend for forecasting churned customers on the basis of model performance?Answer choicesSelect only one optionREVISITMoving Average Forecasting - MA(3) with RMSE value 2.38Holt's model with RMSE value 2.83Simple Exponential Smoothing Model with RMSE value 2831Moving Average Forecasting Model - MA(2) with RMSE value 28.3

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

Which of the forecasting models would you strongly recommend to predict the GDP per capita of INDIA (assuming that there is no seasonal flucation in GDP per capita)?Answer choicesSelect only one optionREVISITSimple Exponential SmoothingHolt's linear trendHolt-wintersNaïve