A spline fit uses piecewise behavior, so one curve can bend in different regions without forcing a single global polynomial to do all the work.

This tool uses a truncated-power basis with internal knots $kappa_j$, which lets the curve gain extra flexibility after each knot location.

That makes spline regression useful when a trend changes direction or steepness across the observed range.