JDS_Challanges

JDS_koef_kor.py

# Enter your code here. Read input from STDIN. Print output to STDOUT
'''
Implementasi rumus koefisien korelasi
r = (n*xy - x*y) / math.sqrt((n*xsq - x*x)*(n*ysq - y*y))
'''

import math as m

a = [15, 12, 8, 8, 7, 7, 7, 6, 5, 3]  # Physics Scores
b = [10, 25, 17, 11, 13, 17, 20, 13, 9, 15]  # History Scores

#Inisialisasi nilai awal variabel
n = 0
karl1 = 0
x = 0
y = 0
A = 0
B = 0
C = 0
D = 0

n = len(a)  # Jumlah pengamatan

# Karl1 -->  n*Σ(x*y)
for (x, y) in zip(a, b):
    karl1 = x * y + karl1

karl1 = n * karl1

for i in range(len(a)):
    A = a[i] + A  # jumlah elemen a
    C = a[i] * a[i] + C  # Σ(x^2)

for i in range(len(b)):
    B = b[i] + B  # julmah elemen b
    D = b[i] * b[i] + D  # Σ(y^2)

# Karl2 -->  Σ(x) * Σ(y)
karl2 = A * B

# Karl_num --> nΣ(xy) - Σ(x)Σ(y)
karl_num = karl1 - karl2

C = n * C  # n*Σ(x)^2
D = n * D  # n*Σ(y)^2

# Karl3 --> nΣ(x)^2 - (Σx)^2
karl3 = C - (A) ** 2

# Karl4 --> nΣ(y)^2 - (Σy)^2
karl4 = D - (B) ** 2

# Karl_den --> sqrt((nΣ(x)^2 - (Σx)^2) * (nΣ(y)^2 - (Σy)^2))
karl_den = m.sqrt(karl3 * karl4)

# Rumus final
KARL = karl_num / karl_den

#membulatkan 3 angka dibelakang koma
print(round(KARL, 3))