Here is the article link https://www.hindawi.com/journals/wcmc/2022/9590704/
The grading rubic is attached and the instructions are below.
- Do these
- Find an article preferably in your major or industry (posted in the last 15 years) that explicitly used Linear Regression (Excel, SAS, SPSS, or any other such tool) as part of its analysis.
- The article must address a specific business problem and use Linear Regression to solve it.
- The article should include some explanation of the data used as well as the numerical output of the regression calculations.
- A generic article does not qualify – nor does an article that explains, teaches, or provides examples of Linear Regression.
- Provide the URL to the article as a citation (not to any file you downloaded; other people must be able to easily access your source to do Part 2).
- Use this point of view for writing the article:
- For this assignment, your audience consists of business people, not analysts or mathematicians.
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- Your readers also understand what Linear Regression is – do not take any time to explain it.
- Mention the technique used to develop the model if that is given in the article (forward, backward, logistic, etc.)
- Use these sections in your submission (use headers)
- Introduction
- Regression Model (explain the purpose of the study and summarize the variables – use descriptions, not the mathematical details)
- Goodness of Fit (summarize the key metric values and whether they do or do not support the article’s findings)
- Benefits (to the company / community)
- Lessons Learned (personally / professionally)
- Find an article preferably in your major or industry (posted in the last 15 years) that explicitly used Linear Regression (Excel, SAS, SPSS, or any other such tool) as part of its analysis.
- Do not do these
- Do not select an article:
- That only talks about, explains, teaches, or provides examples of Linear Regression. The article must USE linear regression on actual data in the analysis of a business problem. If it USES LR on real data and has a little explanation, that’s fine. If you are uncertain whether your article is appropriate for this assignment, email me the link for an assessment.
- That is behind a paywall. All readers should have free access to the article.
- Do not use the “Impact of YouTube Advertising on SalesLinks to an external site.” or similar – it’s too common and too shallow.
- Do not try to duplicate the solution itself in Excel; that is not the purpose of this assignment.
- Do not take time explaining what Linear Regression is; you can assume that your reader has that understanding.
- Do not introduce yourself – work history, interests, years at UM, major, ….
- Do not summarize the article – address only the topics above to maximize the limited time and space that is provided.
- Do not detail a company, products, or people – although that is interesting. Since this is a statistics course, focus your work on the application of Linear Regression to their business problem or opportunity.
- Some of these articles use multiple tools such as machine learning. Except for an optional sentence or two in an introduction, focus only on the linear regression portion of the paper.
- Do not select an article: