Non Linear, Regression, Data Science, Python, Least Squares.
the residual error of the model, namely the difference between the observed y and the predicted value (which is the the combination of β_0, β_1 and β_2 and x on the R.H.S.) The following model is an auto-regressive time series model containing coefficients β_1 and β_2 in a multiplicative