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After the initial creation of a model, the first model insight explains93% of the variation...

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After the initial creation of a model, the first model insight explains

93% of the variation of the outcome variable. This is unusually high.

What is the most likely reason for this?

A.

The dataset contains multiple dominant values.

B.

The model contains too many outlier values.

C.

The outcome variable may be causing data leakage.

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