input: from typing import List
  
  def linear_regression_prediction(X: List[int], Y: List[int]) -> None:
      """Predicts the value of y using linear regression for given input-output pairs.
      Example:
      >>> linear_regression_prediction([1, 2, 3, 4, 5], [3, 5, 7, 9, 13])
      [17.0]
      """
      import numpy as np
      from sklearn.linear_model import LinearRegression
  
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
  
      model = LinearRegression()
      model.fit(X, Y)
  
      # Predicts the value of y
      prediction = model.predict([[7]])
      print(prediction)
output:     import numpy as np
      from sklearn.linear_model import LinearRegression
  
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
  
      model = LinearRegression()
      model.fit(X, Y)
  
      # Predicts the value of y
      prediction = model.predict([[7]])
      print(prediction)