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Intermediate
A city transit agency sees two columns in clinic encounter data: total_charge and charge_after_tax. Both are highly correlated and derived from each other. What issue should be considered before linear regression?
Class imbalance, because correlated numeric variables are minority classes
A missing foreign key, because correlation always means the schema is invalid
A Dash callback error
Multicollinearity or redundant features that can make coefficients unstable and hard to interpret
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