Most often than not, microorganism’s growth curve is sigmoidal in characteristics.
The modified Gompertz model via nonlinear regression using the least square method
is one of the most popular methods to describe the growth curve. One of the
assumptions of a good model is that the variance of the data must be homogenous
(homoscedasticity). In this work, two statistical diagnostics; the Bartlett and the
Levene’s tests was performed to a modified Gompertz model utilized to model the
growth of the bacterium Burkholderia sp. strain Neni-11 on acrylamide in order to
satisfy the requirement above and found that data conformed to the requirement
indicating the modified Gompertz model is a robust model for modelling the bacterial
growth process.