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Part $1$

In a simple exponential smoothing$$ model, which of the following statements is$$ true?

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Part $1$

A$.$

If the data contain a lot of random or irregular ups and$$ downs, then a larger smoothing constant should be used in an attempt to model these fluctuations.

B$.$

The forecast values are determined by computing a moving average of the previous $4$ data periods if we are working with quarterly data.

C$.$

More smoothing of the data will take place if a smoothing constant value close to zero is used.

D$.$

The larger the smoothing$$ constant, the more smoothing that takes place in the model.