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The sum squared error has been evaluated for the n th degree of polynomial regression.
Figure 1.
Polynomial regression was evaluated on the raw data. The logarithmic regression was done for comparison purposes. However the equation for logarithmic regression was nonlinear.
Figure 2.
Problems that
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need to be
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tackled
- The initial turbidity is not the same as the clay dose turbidity (Experimental setup)
- Different type of slope plots for different degree, n of polynomial (Plots not shown) - not consistent
- Logarithmic regression is nonlinear
- The slope curve will be smoother n-1 th polynomial if plotted against smaller uniform ¿x
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Another example of how the data was analyzed .
Previous setup(from previous experimental setup).
Alum = 35mg/L, initial NTU = 75 NTU, Flow rate = 1.443 mL/s
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Figure 3. Regression plots. Regression was done for up to the 10th degree of polynomial. Only 4 of them are shown here.
Figure 4. Sum squared error and R2 value