Spline regression is a type of statistical modeling technique used to capture relationships in data by fitting piecewise polynomial functions to different segments of the dataset. This method allows for greater flexibility in modeling trends compared to traditional linear regression, as it can accommodate changes in the relationship between variables across different ranges of the data. By using knots to define where the pieces join, spline regression helps in creating smooth curves that can adapt more effectively to complex patterns.
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