input:                                 
  def predict_linear_regression(X: List[int], Y: List[int]) -> float:
      """
      Given a list of numbers X and their corresponding output Y, this function performs a linear regression to predict a new value.
      >>> predict_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.]
      """
      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)
      
      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)
      
      return model.predict([[7]])