I have two data sets collected by different methods about the same phenomena, one 'bare' and other where I believe there is a constant value added (the same phenomena, with the data collected by a different method, plus a constant percentage value added to each data point). I´m trying to calculate
- Check if the two data sets are really representing the same phenomena and
- The constant percentage difference.
I made two linear regressions with statsmodels on each data set and can see that the regression lines are parallel. I was thinking on
- Calculate the correlation of the two data sets to answer 1 - seems to be ok
- Subtracting the difference between the two regression lines to evaluate the percentage difference, but it seems to be incorrect to do so.
How can I accomplish this?