I have cleaned up the Python code and created some plots for the values of ##a##, ##b## and ##c## mentioned above. Noise is simply added to the 'ideal' data, has a mean of 0 and a standard deviation of 0, 1 and 10.
What I infer is that, at higher noise levels, the mean of the residual is...