线性散点图 by Jesus Perez

几何画板及绘图内容加载中，请稍等……

2015-12-22 23:00

函数解析几何概率统计

该范例演示了线性散点图及其统计特征。通过使用GeoGebra命令，可以构造线性函数图、点、椭圆、线段等几何对象，展示数据点之间的线性关系。涉及的核心数学概念包括函数图、统计特征等。适合高中数学教学和学习。

GeoGebra 命令及参数

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9.100000000000001, 9.100000000000001, 9.100000000000001, 9.100000000000001, 9.100000000000001, 9.100000000000001, 9.100000000000001}) → t
Point(xAxis) → H
Ellipse(E, H, I) → d
Segment(H, J) → b
Segment(E, K) → e
Ellipse(J, K, M) → k
Point(d) → N
CircumcircleArc(H, N, E) → p
Point(b) → F_1
Point(e) → G_1
Point(p) → H_1
Point(p) → I_1
Point(p) → J_1
Point(p) → K_1
Point(p) → L_1
Segment(L_1, F_1) → c_1
Segment(H_1, G_1) → d_1
Point(c_1) → M_1
Point(d_1) → N_1
Intersect(p, d_1, 1) → O_1
Point(p) → P_1
Point(p) → Q_1
Intersect(p, c_1, 1) → R_1
Polygon(M_1, N_1, O_1, P_1, Q_1, R_1) → poly1, m_1, n_1, o_1, p_1, q_1, r_1
TableText({{A6, B6}, {A7, B7}, {A8, B8}, {A9, B9}, {A10, B10}, {A11, B11}}, "|_") → text3
FitLineY({S_1, T_1, U_1, V_1, Z_1}) → e_1
AttachCopyToView(PolyLine[(0.19999999999999907, 4.715094559126049), (-0.14000000000000104, 4.793030006384331), (-0.08000000000000103, 4.75406228275519), (-0.020000000000001003, 4.73457842094062), (0.059999999999999026, 4.676126835496908), (0.15999999999999906, 4.656642973682338), (0.2399999999999991, 4.617675250053197), (0.2999999999999991, 4.578707526424056), (0.37999999999999917, 4.520255940980344), (0.4599999999999992, 4.461804355536633), (0.4799999999999992, 4.403352770092922), (0.41999999999999915, 4.364385046463781), (0.33999999999999914, 4.305933461020069), (0.2799999999999991, 4.266965737390928), (0.2599999999999991, 4.208514151947217), (0.19999999999999907, 4.169546428318076), (0.15999999999999906, 4.1110948428743646), (0.09999999999999905, 4.0721271192452235), (0.03999999999999902, 4.0136755338015115), (-0.020000000000001003, 3.974707810172371), (-0.04000000000000101, 3.9162562247286594), (-0.10000000000000103, 3.8772885010995184), (-0.16000000000000106, 3.838320777470378), (-0.20000000000000107, 3.7798691920266663), (-0.18000000000000105, 3.8578046392849483), true], 16, (-0.9200000000000014, 1.9094184578279003), (9.980000000000002, 16.15212144427892), (0, 731), (545, 0)) → stroke1
Point(e_1) → W_1
Point(e_1) → A_2
OrthogonalLine(W_1, xAxis) → h_1
Line(A_2, xAxis) → g_1
Intersect(g_1, h_1) → B_2
Segment(W_1, B_2) → i_1
Segment(A_2, B_2) → j_1
Angle(W_1, B_2, A_2) → α
Line(Y, xAxis) → c
Line(Y, xAxis) → h
Intersect(e, h) → T
Segment(Y, T) → i
FitLineY(list1) → j
Point(Circle[S_1, 4]) → W
Segment(S_1, W) → l
Point(Circle[Z_1, 4.9]) → Z
Segment(Z_1, Z) → m