Observed errors which represent information from the data which is not explained by the model are called:
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mean square errors
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The correct answer to this question is mean square error.
It is a part of statistics and is always positive.
Observed errors are the representation of information from the data that is not explained by the model.
The results become different at times, depending on the quality of the predictor or the estimator.
When the mean square error is zero, it means that there is perfect accuracy in the collection of data.
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