In an Exponentially Smoothed Time Series, the Smoothing Constant W

Multiple Choice

In an exponentially smoothed time series, the smoothing constant w is chosen on the basis of how much smoothing is required. In general:

A) a small value of w, such as w = 0.1, results in very little smoothing, while a large value, such as w = 0.8, results in too much smoothing.
B) a small value of w, such as w = 0.1, results in too much smoothing, while a large value such as w = 0.8, results in very little smoothing.
C) a small value of w, such as w = 0.1, and a large value, such as w = 0.8, may both result in very little smoothing.
D) a small value of w, such as w = 0.1, and a large value, such as w = 0.8, may both result in too much smoothing.