The old forecast for May was 220 and the actual demand for May was 190. If alpha a) is 0.15, calculate the forecast for June. If June demand turns out to be 218, calculate the forecast for July.
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Q1: MAD is:
A) period average demand * deseasonalized
Q2: What factors influence the demand for a
Q3: A product that is seasonally based
Q4: What is the purpose of a tracking
Q6: The formula for the seasonal index is:
A)
Q7: Exponential smoothing:
A) will detect trends
B) will lag
Q8: Forecast error must be measured before it
Q9: To guard against inherent error in forecasting:
A)
Q10: _forecasting is most useful in forecasting the
Q11: Demand over the past three months has
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