Soliyev Ismoilbek 1-topshiriq
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121-20 Mashinali oqitish 1 modul
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Quyidagi jadval elementlari asosida t0 qiyaligi va t1 kesish topilsin va regressiya chizig‘i funksiyasi topilsin. Chiziqli regressiya modelining kvadrat xatosi, o‘rtacha kvadrat xatosi va aniqlanish koiffitsenti topilsin. Har talaba dasturini tuzib topshirishi shart. import numpy as np import matplotlib.pyplot as pltb # kutubxona x = np.array([1,2,3,4,5]) # x ning qiymatlari y = np.array([8,12,15,18,22]) # y ning qiymatlari m_x = np.mean(x) # x urtacha m_x m_y = np.mean(y) #y urtacha m_y n = np.size(x) SS_xy = np.sum(y*x) - n*m_y*m_x # y va y urtacha ayirmasi kvadrati yigindisi SS_xy SS_xx = np.sum(x*x) - n*m_x*m_x # x va x urtacha ayirmasi kvadrati yigindisi SS_xx b_1 = SS_xy / SS_xx # Nishab b_1 b_0 = m_y - b_1*m_x #kesishish b_0 y1=b_1*x+b_0 #funksiya y1 er=y-y1 # xatolik er er2=er*er # xatolik kvadrati er2 t=y-m_y # y va y urtacha ayirmasi t t2=t*t #y-m_y kvadrati t2 er3=np.sum(er2) # xatolik kvadrati yigindisi er3 t3=np.sum(t2) # y-m_y kvadrati yigindisi t3 kver=er3/n #kvadratik xato kver Re=1-er3/t3 #aniqlanish koefsienti Re Colab linki: https://colab.research.google.com/drive/1yDiJka0t_2zTNwicSu4hYulzehLnt4x-?usp=sharing Download 55 Kb. Do'stlaringiz bilan baham: |
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