Testing the Normality of Residuals on Regression Model for the Growth of Paracoccus sp. SKG on Acetonitrile

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Halmi M.I.E


Bioremediation of acetonitrile, an organonitrile, has been touted as a more economical and feasible method compared to physical and chemical approaches. In this work, we model the growth of growth of Paracoccus sp. SKG on acetonitrile from published literature to obtain vital growth constants. We discovered that the Buchanan-three-phase model via nonlinear regression utilizing the least square method was the very best model to explain the growth curve. However, the use of statistical tests to choose the best model relies heavily on the residuals of the curve to be statistically robust. More often than not, the residuals must be tested for conformation to normal distribution. In order for these assumptions to be met, we perform statistical diagnosis tests such as the Kolmogorov-Smirnov, Wilks-Shapiro and D'agostino-Pearson tests.

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How to Cite
M.I.E, Halmi. Testing the Normality of Residuals on Regression Model for the Growth of Paracoccus sp. SKG on Acetonitrile. Journal of Environmental Bioremediation and Toxicology, [S.l.], v. 3, n. 1, p. 15-17, nov. 2015. ISSN 2289-5884. Available at: <http://journal.hibiscuspublisher.com/index.php/JEBAT/article/view/255>. Date accessed: 21 sep. 2018.


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