Northeastern Illinois Locating New Pam and Susan’s Stores Multiple Regression Analysis
Question Description
KEY INFORMATION: See more on the project in the attachment “Project hints and guideline attachment. I have also attached a rough draft of a paper I worked on as a guide. I’d need you to check all of the work to ensure it is correct. Also, if using any of the text, please rewrite.
The case involves the decision to locate a new store at one of two candidate sites. The decision will be based on estimates of sales potential, and for this purpose, you will need to develop a multiple regression model to predict sales. Specific case questions are given in the textbook, and the necessary data is in the file named pamsue.xls.
STRUCTURE OF PAPER
Cover page: Include the report title, your name, course, section, instructor,and date. Go to a new page, and use the following subsection headings forthe report.
Introduction: One paragraph (two at most) describing the subject andcontext of the project.
Data: One or two paragraphs describing the data in plain English (number ofvariables, number of observations, units for data values, etc.) Display ofcomputer work described in “project hints and guidelines” – See attached
Results and Discussion: This is the main body of the report. It is where youwill describe what you have done, what you found, and answer the casequestions with the reasons for your answers. These reasons should bebased on the analytical work you have done using Excel. Depending on howconcisely you write and how many tables and graphs you include, this pagecould be 3-4 pages long. Correct answers to the five questions in projecthints and guidelines
Conclusion: One or two paragraphs discussing any remaining issues (e.g.shortcomings and possible improvements of the analyses in the report).2Quality: Quality of the report (e.g., clarity, conciseness, presentation). 2Total 25

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Attachments
20190703004459sample_complete___multiple_regression_project (65 kB)
20190703004522project_hints_and_guidelines (35 kB)
20190703004645datasets (4 MB)
20190703004738datasets (4 MB)