Posted: September 18th, 2017
MS 3043 – Spring 2015 Project
1. Introduce some basic library search tools
2. Demonstrate the relevance of statistics (in this case, regression analysis) to your chosen field of study.
Statistics is not a subject that you simply endure for now and then never use again. Many of the concepts covered in this course will be encountered in future courses and quite likely throughout your business career. The purpose of this project is to explore how researchers in your area of interest use the process of regression analysis. In order to do this, you will locate two articles from academic journals that pertain to your area of interest in business and contain the use of regression analysis. Your search criteria will contain one of the following majors from the UTSA College of Business: Accounting, Economics, Finance, Human Resource Management, Information Systems, Management, Management Science, and Marketing. There are several other majors, but you may find it hard to locate articles about them. In that case, it may be better to choose one of the highlighted majors above that is related to your major.
Directions for finding articles:
From UTSA home page
Select Libraries link (bottom of page, under Current Students)
Under Find Information, select Databases
Select “A” under Find by Title
Select ABI/INFORM – Global
On first line of search terms: enter your business major from the list above
(Use quotes if it is more than one word); select Subject heading (all)-SU
For the two boxes on the second line enter: “linear regression” [or]
“multiple regression” (be sure to include the quotes); keep the default of
Limit Results to: check Peer reviewed
Publication date: select Specific date range
Enter July 1, 2013 and December 31, 2013 in the boxes
Note number of documents found.
Search through the available listing of articles to find ones that appear interesting and that specifically describe the use of either linear or multiple regression. The first articles listed in your search will likely only contain abstracts. You will probably have to scroll down to find articles listed as “full text” or “full text – PDF”. If you have a choice, articles presented in PDF format are generally easier to read.
You must follow the general format contained in the document, Spring 2014 Project. On the top of the first page, replace the x’s with your personal information (name, MyUTSA ID, and the major you are interested in). Include the required bibliographical information for the two articles you choose. Retain the grading criteria text at the bottom of the page. Delete the text box.
The second and third pages will each be devoted to one of the two articles you choose. For each article, start with a short overview in your own words. You may want to include information such as when and where the experiment was done, and the author’s reasons for conducting it. Find the description of a regression analysis (there may be several) presented by the author(s) and list the dependent and independent variables. Next, describe the author’s conclusion about this regression. This may involve the significance of the overall model or of the individual independent variables. Finally, provide a statement of how you perceive the article may be relevant to you as you proceed with your studies/career. In other words, what did you learn?
The project reports must be exactly three pages long and in the format described above. Use a font of 12, with single spacing. The grading criteria is provided on the first page of the Spring 2014 Project file. Six points will be awarded for quality of presentation (format, grammar, spelling, etc.). Each article analysis will be worth 17 points, as shown. The total points available for the project are 40. The reports are due in two weeks (as noted in class). The penalty for lateness is five points per day, which starts at the end of the class period on the due date.
Spring 2015 Project
Number of articles found: xxx
Presentation (three pages in proper format,
bibliography, grammar, spelling, etc.) 6
Per each article:
Overview 4, 4
Listing of variables 4, 4
Conclusion 4, 4
Relevance 5, 5
Lateness: -5 per day
Listing of variables:
Relevance of article:
Listing of variables:
Relevance of article:
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