A time-series forecasting model in which the forecast for the next period is the actual value for the current period is the
A) Delphi model.
B) Holt's model.
C) naïve model.
D) exponential smoothing model.
E) weighted moving average.

Question

Quizplus · Accepted Answer

The naïve model is a simple time-series forecasting model that assumes the best predictor of the future value is the current value. Therefore, the forecast for the next period is simply the actual value for the current period. This model is useful as a baseline for evaluating the performance of more advanced forecasting techniques. However, it may not be suitable for datasets with significant trends, seasonality, or other patterns that require more sophisticated modeling approaches.

A Time-Series Forecasting Model in Which the Forecast for the Next