input: Write a function to create a Linear Regression model in Python that predicts housing prices based on the living area and number of rooms. The function should take the input data and output the predicted price for a given living area and number of rooms.
  assert predict_housing_price([[2000, 3], [1600, 2.5], [2400, 3.5], [1400, 2], [3000, 4]], [75000, 43000, 59000, 32000, 85000], [2200, 3]) == 71000
output: def predict_housing_price(X, y, new_data):
      from sklearn.linear_model import LinearRegression
      model = LinearRegression()
      model.fit(X, y)
      return round(model.predict([new_data])[0])