Mul 1. Which time-series model below assumes that demand in t most recent period's demand? A) naive approach B) moving average approach C) weighted moving average approach D) exponential smoothing approach E) regression model 2. For a given product demand, the time series trend equation is 53-4*r, where t is time negative sign on the slope of the equation A) is a mathematical impossibility B) is an indication that the forecast is biased, with forecast values lower than actual values C) is an indication that product demand is declining D) implies that the coefficient of determination (r) will also be negative E) implies that the cumulative error will be negative 3. The degree or strength of a relationship between two variables is shown by the A) alpha B) mean C) mean absolute deviation D) correlation coefficient E) cumulative error 4. Which of the following techniques uses variables such as price and promotional expenditures which are related to product demand, to predict demand? A) regression model B) exponential smoothing C) weighted moving average D) simple moving average E) time series method 11 5. In time series, which of the following cannot be predicted? A) large increases in demand B) random fluctuations C) technological trends D) seasonal fluctuations E) large decreases in demand 6. Effective capacity is the: A) maximum output of a system in a given period. B) capacity a firm expects to achieve under practical conditions. C) average output that can be achieved under ideal conditions. D) minimum usable capacity of a particular facility. E) sum of all of the organization's inputs. 12 E?