input: 
  from typing import List
  import numpy as np
  from sklearn.linear_model import LinearRegression
  
  def predict_linear_regression(X: List[float], Y: List[float]) -> np.ndarray:
      """ Perform linear regression for predicting the numbers in a given dataset.
      >>> predict_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [14.]
      """
      X = np.array(X).reshape(-1,1)
      Y = np.array(Y)
      model = LinearRegression()
      model.fit(X, Y)
      return model.predict([[7]])
  
output:     X = np.array(X).reshape(-1,1)
      Y = np.array(Y)
      model = LinearRegression()
      model.fit(X, Y)
      return model.predict([[7]])