What is the difference between outliers and influential points?
Outliers are data points that differ significantly from other observations, while influential points can affect the slope of a regression line.
Can you give me an example of each?
Sure! An outlier might be a test score of 0 when most scores are between 70-100. An influential point could be a data point that, if removed, significantly changes the regression line.
How do I identify outliers and influential points in my data?
You can use statistical methods like Z-scores for outliers and Cook's distance for influential points to identify them.
Why is it important to distinguish between the two?
Distinguishing them helps in understanding data behavior and making accurate predictions, as they can have different impacts on your analysis.
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