An engineer develops a model to predict house prices using the equation: price = w1 * sq_ft + w2 * num_bedrooms + b. The values w1, w2, and b are learned from a dataset to define the model's behavior. For any new house, its sq_ft and num_bedrooms are fed into the model to get a price prediction. According to the general convention for a parameterized function, o = g(x_0, x_1, ...; θ), which components of the house price equation are the input variables (x_i) and which are the parameters (θ)? Explain your reasoning.