The goodness-of-fit for
each linear regression model was evaluated with the adjusted coefficient
of determination (R2
adj) and root mean squared error (RMSE)
along with P-values derived from the Fisher's F-test. Performance of
nonlinear inactivation models was assessed by root mean square
error (RMSE). Evaluation of R2 as a measure for nonlinear models in
biological studies is not recommended due to overestimated values