A data scientist is building a simple predictive model to estimate a house's price (represented by ŷ) based on a single feature: its size in square feet (represented by x). The model is defined by the equation: ŷ = 250x + 50000. In this specific model, how are the parameters 250 and 50000 best described?

Scalar Parameters in a Simple Model

In a machine learning model designed to predict a single numerical output from a single numerical input, the weight parameter ($W$) must be represented as a multi-element vector to properly scale the input.