Final answer:
Postponement is likely to affect forecast accuracy negatively, as it introduces additional uncertainty into the forecast.
Step-by-step explanation:
Postponement is likely to affect forecast accuracy negatively, as it introduces additional uncertainty into the forecast.
When there is a delay in obtaining information, the forecast becomes less accurate because the available data may no longer reflect the current situation.
For example, if a weather forecast is postponed and the weather conditions change before the forecast is made, the accuracy of the forecast will be affected.