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(Solved): Please us PYTHON  HW9_2 The following data set represents the growth rate of bacteria \( k \ ...



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HW9_2 The following data set represents the growth rate of bacteria \( k \) (per d) as a function of oxygen concentration \(

HW9_2 The following data set represents the growth rate of bacteria \( k \) (per d) as a function of oxygen concentration \( c(\mathrm{mg} / \mathrm{L}) \) and can be modeled by the equation \( \quad k=\frac{k_{\max } c^{2}}{\left(c_{s}+c^{2}\right)} \) - Linearize this model \& solve for the linearized model coefficients using polyfit. - Plot the straight line along with the linearized data. - Next, determine the coefficients for the original model, and then create a second figure showing the original data points, and the growth model. Compute \( r^{2} \) for both the linearized fit and the growth model fit and place it on the plots with the text command. Place appropriate title on each figure \& label axes.


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