Looking to the Boxplots can gives a quick idea of which of the different adjustments would work better. In this case the comparison is between the reference values, the predicted values corrected by the bias, the predicted values corrected by slope/intercept and the predicted values without any correction.
Boxplots help us as well to check the distribution and if there are outliers in the data sets.
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