Regression: Polynomial and Sine Fitting with GeoGebra

①This GeoGebra example demonstrates regression analysis by fitting sine and polynomial functions to a set of data points, visually comparing the resulting curves. ②Core mathematical concepts include regression, least-squares fitting, sine functions, polynomial functions, and function approximation, bridging statistics and graphing. ③Construction highlights: using FitSin and FitPoly commands to generate fitted functions f and g, with objects including data points A through I, list L_1, polynomial degree degreePolynomial, text1 and text2 for displaying results, and additional solid geometry objects (Archimedean, Pyramid, Prism) possibly for extension or comparison. ④Suitable for high school to undergraduate statistics or precalculus courses, helping students understand data modeling, goodness of fit, and how different function forms describe data, also useful for exploratory learning.