input: from typing import List
  
  def perform_linear_regression(X: List[int], Y: List[int]):
      """ Perform linear regression on given dataset to predict the value of y for a given x.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.0]
      """
      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 for x = 7
      return 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
      return model.predict([[7]])