Questions: True or false: The basis for choosing among models for passive prediction is model fit.

True or false: The basis for choosing among models for passive prediction is model fit.
Transcript text: True or false: The basis for choosing among models for passive prediction is model fit.
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The answer is True: The basis for choosing among models for passive prediction is model fit.

Explanation: Model fit refers to how well a statistical model describes the data it is intended to explain. In the context of passive prediction, where the goal is to predict outcomes without actively manipulating variables, selecting a model that best fits the observed data is crucial. A good model fit indicates that the model accurately captures the underlying patterns and relationships within the data, leading to more reliable and accurate predictions. Therefore, model fit is a primary criterion for choosing among different models in passive prediction scenarios.

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