Least Square Method, Curve Fitting, Python, Residual, Data.
input variable and yᵢ is the corresponding output variable. We want to find the parameters (β) of a model (f(xᵢ, β)) that best fits the data. The model can be linear or nonlinear in the parameters, but we will focus on the linear case. For a linear model, the general form is: f(xi, β) = β0 + β1 *