Question: When selecting a regression model in a complicated situation, which of the following statements is FALSE? Question 1 options: In a model with a predictive

When selecting a regression model in a complicated situation, which of the following statements is FALSE?
Question 1 options:
In a model with a predictive goal, coefficient significance is relatively more important than overall model fit.
Practical and legal constraints matter when selecting models in business situations.
There is no best model.
A model which violates regression conditions, when non-violating models are possible with about the same overall strength, is a poor model.

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