Questions about Data analytics with linear programming, regression and forecasting

Learning Goal: I’m working on a business question and need the explanation and answer to help me learn.

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)?

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 double spaced pages. I appreciate headings.

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