After the initial creation of a story, the first story 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 too many rows.
B. The dataset contains multiple dominant values.
C. The outcome variable is causing data leakage.
D. The dataset used in the story suffers from too many outlier values.

Suggest answer: C

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