input: 
  import numpy as np
  from sklearn.linear_model import LinearRegression
  
  def perform_linear_regression(X: list, Y: list) -> np.ndarray:
      """
      Perform linear regression on the given dataset and predict the value of y for a new x.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      array([17.33333333])
      """
      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:     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]])