Models are also inherently unstable when they extend to
A) long time periods.
B) short time periods.
C) no time periods.
D) micro periods of time.

Question

Quizplus · Accepted Answer

Models can become less accurate and dependable as the time period increases, as there are more variables and factors that can affect the outcome. Shorter time periods allow for more control and accuracy in modeling. No time periods would not apply as a model without a time frame would not be a model. Micro periods of time may not necessarily make a model unstable, depending on the specific variables and factors involved.

Models Are Also Inherently Unstable When They Extend to