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 models will you choose for forecasting the sales of the mobile phone?Model 1 with RMSE 2.33e+02Model 2 with RMSE 0.235e+03Model 3 with RMSE 2.32+e03Model 4 with RMSE 2.33e+05Answer choicesSelect only one optionREVISITModel 3Model 2Model 1Model 4

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 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

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 of the following are the important characteristics that determine the choice of the forecasting model?Answer choicesSelect only one optionREVISITPatterns in the dataVolume of the dataVelocity of the dataVariety of Data