What are outliers in regression analysis?
Outliers are data points that differ significantly from other observations. They can skew results.
How do outliers affect regression models?
Outliers can distort the estimated coefficients, leading to misleading interpretations and predictions.
What methods can I use to detect outliers?
Common methods include visualizations like scatter plots, Z-scores, and the IQR method.
Should I remove outliers from my dataset?
It depends on the context. If they are errors, remove them; if they are valid, consider their impact on your analysis.
Can outliers ever be useful in regression?
Yes, outliers can provide insights into variability and help identify unique cases or trends.
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