The article discusses how regression analysis can be used to optimize designs by minimizing the objective function within constraints. The design process starts with requirements, and criteria are adjusted iteratively to improve performance. The approach involves adjusting design variables based on analysis results until the objective function is minimized. This iterative process helps in learning about the system's capabilities and characteristics, leading to the identification of the best design alternatives.