Figure 6.

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 data from Jachimowicz and El Sherbiny (1975). According to the LC₅₀ (left), the slope value of the linear regression, which quantifies Haber's exponent, is −1.95691 with 95% confidence interval [−1.97486, −1.93896]. Also, the intercept parameter (log k) is 10.9746 with 95% confidence interval [10.9104, 11.0389]. According to the LC₁₀ (right), s = −2.11791 with 95% confidence interval [−2.14663, −2.08919], and log k = 11.0802 with 95% confidence interval [10.9775, 11.183]

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