1. Which of the following techniques uses variables such as price and promotional expenditures, which are variables that are related to product demand, to predict demand?
A. Associative models (like linear regression) B. weighted moving average C. moving average D. exponential smoothing E. trend projection
2. A naive forecast for September sales of a product would be:
A. Equal to the forecast for August
B Equal to the forecast for July
C More than the sales for August
D Unrelated to the sales for August
E Equal to the sales for August
3. What system that was mentioned in lecture is best suited to the hierarchical database model?
A. Data warehousing
B. Bill of materials
C. Marketing data mining
D. Inventory tracking
E. Ordering system