import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression

X = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]).reshape(-1, 1)
Y = np.array([3, 4, 2, 5, 6, 8, 7, 9, 10, 12])
model = LinearRegression().fit(X, Y)
plt.scatter(X, Y, color='blue')  # Data points
plt.plot(X, model.predict(X), color='red')  # Regression line
plt.xlabel("X (Input Feature)")
plt.ylabel("Y (Output)")
plt.title("Simple Linear Regression")
plt.grid(True)
plt.show()