The selection of forecasting methods often represents a tradeoff between the accuracy of the method and the ease with which it can be implemented.

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This statement is true. When selecting a forecasting method, it is important to consider not only the accuracy of the method but also factors such as data availability, time constraints, and the technical skills required to use the method. Often, a simpler method may be preferred if it provides reasonably accurate results and is easier to implement.

The Selection of Forecasting Methods Often Represents a Tradeoff Between