input: 
  from typing import List
  
  
  def predict_value(X: List[int], Y: List[int], new_X: int) -> float:
      """ Perform linear regression on a given dataset (X, Y) and predict the value of Y
      for a new given X.
      >>> predict_value([1,2,3,4,5], [3,5,7,9,13], 7)
      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 new_X
      return model.predict([[new_X]])[0]
  
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 new_X
      return model.predict([[new_X]])[0]