input: def perform_linear_regression(X: List[float], Y: List[float]) -> None:
      """ Perform linear regression on given dataset to predict the numbers.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.]
      """
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)
  
      prediction = model.predict(np.array([5]).reshape(-1, 1))
      print(prediction)