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Log transformation is used to make highly skewed distributions less skewed, which can help in making data patterns more interpretable and meeting statistical assumptions. In a brain weight versus body weight plot, using log transformation creates a more interpretable pattern. Comparing means of log-transformed data is actually comparing geometric means. For example, when comparing the numbers 110, the arithmetic mean of the three logs is 1 and the geometric mean is the cubed root of 1,000.