Create the oxygen dissociation curve

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

find the cost of your paper