input: def predict_housing_price(living_area: float, number_of_rooms: float) -> float:
      """ Predict the housing price based on given living area and number of rooms using 
      a Linear Regression model.
      >>> predict_housing_price(2200, 3)
      71400.0
      >>> predict_housing_price(1800, 2.8)
      55300.0
      """
output:     # Define the coefficients for the linear regression model
      intercept = 50000.0
      area_coefficient = 100.0
      rooms_coefficient = 5000.0
      
      # Calculate the predicted price
      predicted_price = intercept + (area_coefficient * living_area) + (rooms_coefficient * number_of_rooms)
      
      return predicted_price