input: 
  def perform_linear_regression(X: List[float], Y: List[float]) -> None:
      """Perform linear regression to predict the numbers in the given dataset.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.6]
      """
      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
      print(model.predict([[7]]))
  
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
      print(model.predict([[7]]))