input: def perform_linear_regression(X: List[float], Y: List[float]) -> List[float]:
      """ Performs linear regression on the given dataset and predicts the value of y for a specified x.
      >>> perform_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 for x = 7
      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)
  
      # Predicts the value of y for x = 7
      return model.predict([[7]])