Question: Consider the following forecasting model: @ot,t+y = t + 1_1 $ibt with updating procedure t = axt + (1 - a) (t1 + pt-1) 4

Consider the following forecasting model: @ot,t+y

Consider the following forecasting model: @ot,t+y = t + 1_1 $ibt with updating procedure t = axt + (1 - a) (t1 + pt-1) 4 = B (t t-1) + (1 - B) t-1 Which of the following statements is true? Select all correct answers As o approaches 0, the model output approaches that of a cumulative model. As o approaches O, the model output approaches that of a simple exponential smoothing model. o is a dampening parameter for the trend, and it is useful to avoid underforecasting. As o approaches 0.5, the model output approaches that of an Holt-Winter model. This model allows to predict the demand for any given period in the future based on the forecasted a and b values in time t. None of the above

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