# How can I ascertain the relationship between two variables with low sample-sizes?

So I have this issue. I'm working on investigating the changes in the blood as a certain disease affects the organism. I have two different variables measured on control(healthy) and infected model organism: M, E:

measurement of M gives:

measurement of E gives:

How can I show that there is a correlation between the changes in E and M as the healthy organism becomes ill? Or maybe evaluate the statistical significance of supposing that the change in E can explain the change in M?

• What's your sample size? Only these three items? Commented Aug 4, 2020 at 11:04
• Yeap! :( As in my experiments it's very difficult/lengthy to derive even one sample, i have only these three Commented Aug 4, 2020 at 11:06
• Honestly, with three (or 6?) samples, I wouldn't do much statistics. Plot them on a 2-D plot, showing the relationship between E and M. Commented Aug 4, 2020 at 11:09
• Kinda expected it to be meaningless. Just wanted to see if there is anything I can try. Thank you! Commented Aug 4, 2020 at 11:12
• It's not meaningless. Just report the data with a good, clean interpretation and let the readers judge. Not everything needs a p value attached to it. Commented Aug 4, 2020 at 14:55