Spline regression is a form of regression analysis that allows for the modeling of non-linear relationships between variables by using piecewise polynomial functions called splines. This method helps in fitting flexible curves to data, enabling it to capture complex patterns that traditional linear models might miss. By dividing the data into segments and fitting separate polynomials to each segment, spline regression enhances the model's accuracy and interpretability when dealing with non-linear relationships.
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