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import re, numpy as np
from scipy import stats

s = """сюда вставь весь список"""

pairs = re.findall(r'\(([^;]+);([^)]+)\)', s)
xy = [(float(a), float(b)) for a, b in pairs if a != 'NA' and b != 'NA']

x = np.array([i[0] for i in xy])
y = np.array([i[1] for i in xy])

n = len(x)
r = np.corrcoef(x, y)[0, 1]
t = r * ((n - 2) / (1 - r**2))**0.5
p = 2 * (1 - stats.t.cdf(abs(t), n - 2))

print(n)
print(f"{r:.8f}")
print(f"{t:.8f}")
print(f"{p:.8f}")
print("Да" if p < 0.04 else "Нет")