input: 
  def linear_regression(X: List[int], Y: List[int]) -> None:
      """ Given a list of integers X and Y, performs linear regression to predict the numbers in the dataset.
          
      Example:
      for 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
      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
      print(model.predict([[7]]))