Figure 5.

Linear regression of the natural logarithm (Ln) of LC₅₀ (left) and LC₁₀ (right) values vs. the natural logarithm of the associated exposure time (using Equation 2), based on results from Gregorc et al. (2020). According to the LC₅₀ (left) the slope value (s) of the linear regression, which quantifies Haber's exponent, is −1.89365 with 95% confidence interval [−1.92624, −1.86106]. Also, the intercept parameter (log k) is 13.5762 with 95% confidence interval [13.4561, 13.6963]. According to the LC₁₀ (right), s = −1.94663 with 95% confidence interval [1.97283, −1.92044], and log k = 13.5319 with 95% confidence interval [13.4353, 13.6284]

• LC₁₀: lethal concentration 10%, LC₅₀: lethal concentration 10%; Ln: natural logarithm.