input: from typing import List
  
  
  def perform_linear_regression(X: List[float], Y: List[float]) -> None:
      """ Given two lists of numbers X and Y, performs linear regression to predict the y-value 
      corresponding to a given x-value. Uses the sklearn library to fit the model and predict.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.]
      """
      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 for x = 7
      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 for x = 7
      print(model.predict([[7]]))