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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)

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

(See attached file for full problem description)

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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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