input: from typing import List, Tuple
  import numpy as np
  from sklearn import linear_model
  
  def predict_housing_price(data: List[Tuple[int, float]], prices: List[int], new_data: Tuple[int, float]) -> float:
      """Predict the housing price based on living area and number of rooms using Linear Regression.
      >>> predict_housing_price([[2000, 3], [1600, 2.5], [2400, 3.5], [1400, 2], [3000, 4]], [75000, 43000, 59000, 32000, 85000], [2200, 3])
      61000.0
      """
      X = np.array(data)
      y = np.array(prices)
      
      model = linear_model.LinearRegression()
      model.fit(X, y)
      
      prediction = model.predict([new_data])
      return prediction[0]
output:     X = np.array(data)
      y = np.array(prices)
      
      model = linear_model.LinearRegression()
      model.fit(X, y)
      
      prediction = model.predict([new_data])
      return prediction[0]