17. Which of the following descriptions is/are correct about forecasting? (A) A Naive forecasting method
is done without considering any historical data; (B) When a positive trend exists, the forecasting using
moving average method tends to underestimate the true values. (C) In a simple exponential smoothing
method, a higher smoothing factor increases the level of smoothing, making the forecast less
responsive to recent changes. (D) By treating time as the independent variable and the time series as a
dependent variable, regression analysis can be used as a time series method. (E) Time series
decomposition can be used to separate or decompose a time series into seasonal, trend, and irregular
(error) components.