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Matlab Function Polyfit

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Not quite sure how to use polyfit to write the matlab program.

(See attached file for full problem description)

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pO2 10 20 30 40 50 60 70 80 90 100 110 120
Y 0.18 0.4 0.65 0.8 0.87 0.92 0.94 0.95 0.95 0.96 0.96 0.97

Where pO2 is given in units of mmHg.
Data collected for tetrameric bovine hemoglobin binding to oxygen is given above. Using this data, (a) create the oxygen dissociation curve, perform a linear regression on the experimental data using built-in Matlab function, polyfit, and plot your best-fit model with the data to show that linearity exists.

I think we are supposed to use the Hill equation to capture the sigmoidal shape of the oxygen dissociation curve.

And Henry's equation:

ln(Y/(1-Y)) = n*ln(pO2)+n*ln(P50)
where the model is linear in n and in P50
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(See attached file for full problem description)

Solution Summary

The expert examines Matlab function polyfit. Henry's equations are analyzed.

Solution Preview

I have made a program to fit the Henry's equation you have written and to plot a figure to compare the original data with the fit.

Here is the text of the program ( I also attach the pO2.m file)

%%%%%%%%%%%%%%%%%%%%%%%

function po2()

% this is the data provided
pO2 ...

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