Which time-series model uses past forecasts and past demand data to generate a new forecast?
A) naive
B) moving average
C) weighted moving average
D) exponential smoothing
E) regression analysis

Question

Quizplus · Accepted Answer

Exponential smoothing is a time-series model that combines past forecasts and past demand data to generate a new forecast. It assigns weights to past demand data, with more recent data being given greater weight, and uses these weighted averages to generate the forecast for the next period.

Which Time-Series Model Uses Past Forecasts and Past Demand Data