Question

When is a model less likely to be able to predict a result accurately? (Select the best answer.)

Question 5 options:


When the system is very complicated


When the model isn't run by a computer


When the system exists in the natural environment


When the system is very simple

Answer 1

When the system is very complicated.

Step-by-step explanation:

A model is a representation of some reality, events or system as it's called here. So, the more complicated are those events more probably the model is no sufficient, because several variables are present, and this characteristic make it more complicated.

Answer 2

when the system is complicated

i think that this is the answer because when things are complicated it is more difficult to predict a result