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

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 forecasting technique can you strongly recommend for forecasting the wollen jackets in India A. Moving average forecasting model B. Exponential Moving Average model C. Naïve forecasting model D. Additive Decomposition model

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

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

Which of the following is NOT a commonly used forecasting technique for time series data?Review LaterARIMASARIMAProphetLinear Regression