2. The solubility of oxygen in water is a function of the water temperature. Let S represent the

solubility of O2 as millimoles of O2 per liter of water. Let T be temperature in °C (see data below).

a. Generate a 3rd order polynomial fit for the data. On a single matplotlib figure, plot the experimental data (in the table above) as black square markers as well as the 3rd order line of best fit as a dotted black line. Add axis labels and gridlines.

b. Use your model fit to estimate S when T = 8°C using Python.