input: def perform_linear_regression(X, Y):
      """ Perform linear regression to predict values based on the given dataset.
      >>> perform_linear_regression([1,2,3,4,5], [3,5,7,9,13])
      [15.4]
      """
      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
      return model.predict([[7]]).tolist()
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
      return model.predict([[7]]).tolist()