Your question is Linear Regression and Gradient Descent. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're training a supervised learning model and want to understand how its parameters are learned from data.
Explain the mathematical formulation of linear regression and how gradient descent optimizes its parameters.