multiple questions.

1) Which model can be used to deal with data intergrity problems?

a) regression. b) winter's. c) single exponential. d) moving average

2) ........... in units gives the average forcast error in magnitude and isually applied at the SKU level?

a) BIAS. b) MAPE. c) MAD. d) MSE

3) Forecast accuracy measures include

a) all of the above. b)mean squared error( MSE)

c)mean absolute percentage error( MAPE)

d) mean absolute deviation ( MAD)

4) in a situation where there aee low economies of scale and a long response time, the supply chain strategy should focus on

a) product flexibility since detailed and accurate forcasting is not critical importance

b) an accurate short- term forcast with strong tactics and less consideration of history

c) both forcast accuracy and responsiveness because they are equally important

d) responsiveness at yhe expenses of forecast accuracy