input: 
  from typing import List
  
  def perform_linear_regression(X: List[float], Y: List[float]) -> float:
      """ Performs linear regression on the given dataset and predicts 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]])