What kind of effect can an outlier have on a linear regression model?
- Decreases the model's accuracy
- Has no effect on the model
- Increases the model's accuracy
- Increases the model's precision
Outliers can significantly affect the estimates of the parameters in a linear regression model and can lead to a misleading representation of the data, hence decreasing the model's accuracy.
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