The class is called Quantitative Methodologies.

This week's topic of discussion is: Introduction to Linear Programming, Sensitivity Analysis, and Interpretation of Solutions

Here is the question:

Until now, the class has learned about forecasting models and this week introduced optimization models. Why should we solve a linear programming problem to find an optimal solution (prediction) instead of building a regression/forecasting model?