An article in Biotechnology Progress [“Optimization of Conditions for Bacteriocin Extraction in PEG/Salt Aqueous Two-Phase Systems Using Statistical Experimental Designs” (2001, Vol. 17, pp. 366–368)] reported an experiment to investigate and optimize the extraction of nisin in aqueous two-phase systems (ATPS). Nisin recovery was the dependent variable (y). The two regressor variables were the concentration (%) of PEG 4000 (indicated as x1) and the concentration (%) of Na2SO4 (indicated as x2). The data is shown below. a) Find the fit parameters of the proposed model. b) Establish, b
An article in Biotechnology Progress [“Optimization of Conditions for Bacteriocin Extraction in PEG/Salt Aqueous Two-Phase Systems Using Statistical Experimental Designs” (2001, Vol. 17, pp. 366–368)] reported an experiment to investigate and optimize the extraction of nisin in aqueous two-phase systems (ATPS). Nisin recovery was the dependent variable (y). The two regressor variables were the concentration (%) of PEG 4000 (indicated as x1) and the concentration (%) of Na2SO4 (indicated as x2). The data is shown below.
a) Find the fit parameters of the proposed model.
b) Establish, by means of a hypothesis test, if the regression is significant.
c) State, if the regression coefficients are significant.
d) Evaluate R2 as well as R_adjusted^2.
e) Construct and analyze the residual plot.
Trending now
This is a popular solution!
Step by step
Solved in 6 steps with 1 images
