input: Write a python function to predict house prices given the size using a linear regression model.
  assert predict_price(1500) == 300000  # Replace with the expected output based on your model
  assert predict_price(2000) == 400000  # Replace with the expected output based on your model
  assert predict_price(2500) == 500000  # Replace with the expected output based on your model
output: def predict_price(size):
      # Coefficients for a simple linear regression model (Example values)
      intercept = 0
      slope = 200
      
      # Predicted price using the linear regression equation: price = intercept + slope * size
      price = intercept + slope * size
      
      return price
  
  # Example assertions with the given linear model:
  assert predict_price(1500) == 300000  # 0 + 200 * 1500
  assert predict_price(2000) == 400000  # 0 + 200 * 2000
  assert predict_price(2500) == 500000  # 0 + 200 * 2500