Question: Which forecasting method would be most appropriate for time series C? a. Linear regression b. Holts c. Winters Which is true when comparing mean error

Which forecasting method would be most appropriate for time series C?

a. Linear regression

b. Holts

c. Winters

Which is true when comparing mean error to MSE (select only one)?

a. Mean error can measure bias; MSE cannot.

b. Mean error emphasizes the error from time periods where the error magnitude is most severe.

c. Mean error is appropriate when a weighted error measure is desired.

d. Smoothing coefficients can be optimized using MSE they cannot be optimized using mean error.

A demand (sales) forecast is (select all the apply):

a. A projection into the future of expected demand given a stated set of environmental conditions

b. An operational plan (production plans, procurement plans, distribution plans)

c. A sales target (sales goals designed to motivate marketing & sales personnel)

When the bullwhip effect is a problem, it will result in the most unnecessary safety stock being located at the supplier furthest upstream in the supply chain.

a. True

b. False

Dependent demand is :

a. The amount of product demanded (by time and location) by the end-user customer of the supply chain

b. Demand for the component parts that go into a product

c. Demand that that is a consequence of the demand for something else

d. Internal corporate indirect demand

Which forecasting method would be most appropriate for time series D?

a. Simple linear regression (time period predictor)

b. Holts

c. Winters

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