What does the term "multicollinearity" mean in the context of regression?
- High correlation between predictor variables
- Multiple regression models
- Multiple target variables
- Multiplying the coefficients
Multicollinearity refers to a situation where predictor variables in a regression model are highly correlated with each other, which can make it challenging to interpret the individual effects of predictors.
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