最小二乘回归
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①本范例演示了如何通过最小二乘法拟合数据点生成最佳拟合直线;②涉及的核心数学概念包括线性回归、残差平方和、相关系数等;③作图要点——使用了OrthogonalLine(正交线), Line(直线), Intersect(交点), Polygon(多边形), FitLineY(拟合直线), PMCC(相关系数)等GeoGebra命令;④适合高中及以上数学学习者,用于理解数据拟合和统计建模的基本原理。
GeoGebra 命令及参数
OrthogonalLine(A, xAxis) → fOrthogonalLine(C, xAxis) → gOrthogonalLine(E, xAxis) → hOrthogonalLine(B, xAxis) → iOrthogonalLine(D, xAxis) → jOrthogonalLine(G, xAxis) → kOrthogonalLine(F, xAxis) → lOrthogonalLine(H, xAxis) → mOrthogonalLine(I, xAxis) → nLine(J, K) → pIntersect(p, f) → LIntersect(p, g) → MIntersect(p, h) → NIntersect(p, i) → OIntersect(p, j) → PIntersect(p, k) → QIntersect(p, l) → RIntersect(p, m) → SIntersect(p, n) → TPolygon(A, L, 4) → poly1, q, r, s, t, U, VPolygon(C, M, 4) → poly2, a, b, c, d, W, ZPolygon(E, N, 4) → poly3, e, f_1, g_1, h_1, A_1, B_1Polygon(B, O, 4) → poly4, i_1, j_1, k_1, l_1, C_1, D_1Polygon(D, P, 4) → poly5, m_1, n_1, p_1, q_1, E_1, F_1Polygon(G, Q, 4) → poly6, r_1, s_1, t_1, a_1, G_1, H_1Polygon(F, R, 4) → poly7, b_1, c_1, d_1, e_1, I_1, J_1Polygon(H, S, 4) → poly8, f_2, g_2, h_2, i_2, K_1, L_1Polygon(I, T, 4) → poly9, j_2, k_2, l_2, m_2, M_1, N_1FitLineY({A, B, C, D, E, F, G, H, I}) → n_2Intersect(f, n_2) → O_1Intersect(g, n_2) → P_1Intersect(i, n_2) → Q_1Intersect(j, n_2) → R_1Intersect(l, n_2) → S_1Intersect(h, n_2) → T_1Intersect(m, n_2) → U_1Intersect(k, n_2) → V_1Intersect(n, n_2) → W_1Polygon(A, O_1, 4) → poly10, p_2, q_2, r_2, s_2, Z_1, A_2Polygon(P_1, C, 4) → poly11, t_2, a_2, b_2, c_2, B_2, C_2Polygon(B, Q_1, 4) → poly12, d_2, e_2, f_3, g_3, D_2, E_2Polygon(D, R_1, 4) → poly13, h_3, i_3, j_3, k_3, F_2, G_2Polygon(S_1, F, 4) → poly14, l_3, m_3, n_3, p_3, H_2, I_2Polygon(E, T_1, 4) → poly15, q_3, r_3, s_3, t_3, J_2, K_2Polygon(H, U_1, 4) → poly16, a_3, b_3, c_3, d_3, L_2, M_2Polygon(G, V_1, 4) → poly17, e_3, f_4, g_4, h_4, N_2, O_2Polygon(W_1, I, 4) → poly18, i_4, j_4, k_4, l_4, P_2, Q_2PMCC({A, B, C, D, E, F, G, H, I}) → ς