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I am struggling to decide between using log transformed data or normal data for the statistical description, especially the mean (arithmetic or geometric).

Which one is the most suitable and interesting?

For a bit of background, I want to know if there is any correlation between the Spot rate USD-CAD, and the oil price (WTI). I transformed the daily data for each into log data and then did a regression. My problem is now how to represent descriptive statistics?

Which one is more interesting and gives the most information? Descriptive statistics of normal data, or of the log data? And why?

Thanks