τ1 exhibits an exponential dependence on concentration ...
https://pubs.rsc.org/en/content/articlelanding/1983/FS/fs983...

Linear relationship with OR between X and Y
...linear response curve ... linear correlation coefficient
См. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829644/

Pearson Correlation Coefficient Calculator
The Pearson correlation coefficient is used to measure the strength of a linear association between two variables, where the value r = 1 means a perfect positive correlation and the value r = -1 means a perfect negataive correlation. So, for example, you could use this test to find out whether people's height and weight are correlated (they will be - the taller people are, the heavier they're likely to be).

Requirements for Pearson's correlation coefficient

Scale of measurement should be interval or ratio
Variables should be approximately normally distributed
The association should be linear
There should be no outliers in the data

https://www.socscistatistics.com/tests/pearson/


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Correlation coefficients are used to measure how strong a relationship is between two variables. There are several types of correlation coefficient, but the most popular is Pearson’s. Pearson’s correlation (also called Pearson’s R) is a correlation coefficient commonly used in linear regression. If you’re starting out in statistics, you’ll probably learn about Pearson’s R first. In fact, when anyone refers to the correlation coefficient, they are usually talking about Pearson’s.

Correlation coefficient formulas are used to find how strong a relationship is between data. The formulas return a value between -1 and 1, where:

1 indicates a strong positive relationship.
-1 indicates a strong negative relationship.
A result of zero indicates no relationship at all.


https://www.statisticshowto.com/probability-and-statistics/c...