.. _auto_curves_regression_coefficient: * COMPUTE THE REGRESSION_COEFFICIENT BETWEEN CURVES* ==================================================== Computes the regression coefficient (R²) between two curves, quantifying how well one curve predicts the other. Use this worker to measure the goodness-of-fit or linear correlation between a base curve and a second reference curve. When to use ----------- Classification: **process**. Tagged: ``correlation``, ``curve_comparison``, ``curves``, ``goodness_of_fit``, ``r_squared``, ``regression_coefficient``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Curve 1 - curve1 - vector - — - - Base (reference) curve against which the regression coefficient is computed; accepts a vector of (x, y) pairs. * - Curve 2 - curve2 - vector - — - - Second curve to compare against the base curve; accepts a vector of (x, y) pairs and should share the same x-axis domain as Curve 1. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - curves_regression_coefficient_output_1 - curves_regression_coefficient_output_1 - scalar - Scalar regression coefficient (R²) value in the range [0, 1] representing how closely Curve 2 matches Curve 1; a value of 1 indicates a perfect fit. Disciplines ----------- - data.correlation - data.curve.pair - data.statistics Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=curves_regression_coefficient `_ .. raw:: html

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