How can a logarithmic transformation of the axes affect the identification of outliers in a scatter plot?
- It can convert outliers to normal data points
- It can hide outliers
- It can highlight outliers
- It does not affect outlier identification
A logarithmic transformation of the axes can highlight outliers in a scatter plot by compressing the scale where the larger mass of the data points are and expanding the scale for the potential outliers.
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