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23 January, 19:24

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

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Answers (2)
  1. 23 January, 19:39
    0
    When the system is very complicated.

    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.
  2. 23 January, 19:52
    0
    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
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