input: Write a python function to predict house prices using a linear regression model.
  assert predict_house_price(2000, 3, 2) > 0
  assert predict_house_price(1500, 2, 1) > 0
  assert predict_house_price(2500, 4, 3) > 0
output: def predict_house_price(square_feet, number_of_bedrooms, number_of_bathrooms):
      # Assuming some coefficients for the linear regression model
      # These coefficients would normally be determined by training a model on data
      intercept = 50000
      coeff_square_feet = 150
      coeff_bedrooms = 20000
      coeff_bathrooms = 15000
  
      # Calculate the predicted price
      price = (intercept +
               coeff_square_feet * square_feet +
               coeff_bedrooms * number_of_bedrooms +
               coeff_bathrooms * number_of_bathrooms)
      return price