1. When comparing several forecasting models to determine
which one best fits a particular set of data, the model that should be selected
is the one
a. with the highest MSE.
b. with the MAD closest to 1.
c. with a bias of 0.
d. with the lowest MAD.
2. In exponential smoothing, if you wish to give a
significant weight to the most recent observations, then the smoothing constant
a. close to 0.
b. close to 1.
c. close to 0.5.
d. less than the error
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