1. The cumulative forecast error is important for determining the:

a. Mean squared error.

b. Bias in forecast error.

c. Mean absolute deviation.

2. Which of the following is suitable for launching a new product?

a. Moving average

b. Product life cycle analysis

c. Exponential smoothing

d. all of the above

3. The moving average forecast method is used when?

a. Demand has an observable trend or seasonality.

b. Demand has no observable trend or seasonality.

c. Demand has an observable trend and seasonality.

d. Demand has no observable level or seasonality.

4. In which of the forecasting technique below analyse subjective inputs obtained from various sources?

a. Judgemental forecast

b. Time-series forecast

c. Associative model

d. All of the above

5. Time-series methods discover;

a. Pattern in historical data and project it into the future.

b. Include cause-effect relationships.

c. Are useful when historical information is not available.

d. All of the above