R2 quantifies goodness-of-fit, as a fraction between 0.0 and 1.0, so of course you want it to be large. But how large? There is no general answer for this. The only answer is: It depends. Getting a large value of R2 depends on having chosen an appropriate model, and also having little biological variation or experimental scatter. But the amount of biological variation and experimental imprecision varies widely between systems. In some systems, you expect R2 to exceed 0.98 and you’d be concerned about experimental problems if R2 was as low as 0.95. In other systems, you may expect an R2 of only 0.80 or so, and you’d be concerned about someone faking or clipping data if R2 was as high as 0.95.
Keywords: R2 coefficient of variation RR
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