Demonstrate an understanding of what linear programming does vs. regression vs. quantitative forecasting. Describe an opportunity for the use of linear programming, modeling with regression and quantitative forecasting in your organization/industry.

Your discussion should include (1) a general discussion of each technique, (2) the problem/decision that could be addressed and (3) where the data would come from - captured (artifact from doing business), collected (ex/ questionnaire), acquired (ex/ purchased)?

You have done assignments using each technique and may want to review them to re-familiarize yourself. This is NOT intended to be a research question nor a re-cap of each assignment but rather a synthesis of the techniques you

have learned.

The suggested length is 2-4 pages. I appreciate headings. As always, please provide your name and the assignment name on the assignment.