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

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.

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your welcome.

rain should be the answer.