import numpy as np

np.random.seed(2021)

X = np.array([1, 2, 3, 4,5,6,7,8,9,10])
y = np.array([2,4,6,8,10,12,14,16,18,20])

from sklearn.linear_model import LinearRegression

model = LinearRegression()

a = model.fit(X=X.reshape(-1, 1), y=y)

print(a.predict([[110]]))


X_1 = np.array([11,12,13,14,15,16,17,18,19,20])
point = []
point.append(X_1[0])
point.append(X_1[-1]+1)
print(point)

y_1 = []

for i in range(point[0],point[1]):
    y_1.append(a.predict([[i]]))
print(y_1)
print(a.score(X_1.reshape(-1,1),y_1))