Least Square Method, Curve Fitting, Python, Residual, Data.
to make predictions for new data points using the model f(xᵢ, β). It is important to note that the least squares method assumes that the errors in the data are normally distributed and have constant variance. If the assumptions are violated (e.g., the errors have heteroscedasticity or follow a