Question
GSCM209 The Supply Chain Management Decision Support Tools
and Applications
Week 5 Case Study
Objectives
There are two case studies due in this course. Each case is
described below and noted in the Assignment section of Weeks 5 and
7. The cases studies are due at the end of of the week. Each case
study focuses on key points in the understanding and the
application of concepts being studied. They provide the opportunity
for you to apply the concepts presented to a real-world problem or
situation by identifying the problem, searching for solutions, and
documenting and justifying your results and conclusions.
General Case Study Guidelines
Your case study will adhere to these specifications in
addition to the specifications noted for each weekly case study
below. Each case study is due by the end of class in the week it is
due. Not more that 35% of the content can be taken directly from
all sources. This means if Turnitin is used, then the similarity
index must be 35% or lower. The final score of the case study will
be reduced by 1 point for each percentage point over 35%. This
percentage may initially appear high; however, if the suggested
format noted below is utilized, the headings, which use the
questions, will contribute approximately 15% to the similarity
index. A list of common errors found in case studies can be found
in this document: “Common Case Study Errors,” which can be
downloaded from the the Course Resources page within the Course
Specific Resources section.
The format of the paper should conform to Publication Manual
for the American Psychological Association ( APA) sixth edition for
the title page, introduction, body text, citations, references, and
so forth. A basic APA template to work from can be found here. A
basic APA tutorial can be found in the Web Links section of Course
Resources. All graphics are to be a part of the single case study
document you submit. For the APA template, download the document
from the the Course Resources page within the Course Specific
Resources section.
Note: Wikipedia and unauthored websites are not acceptable
sources. Do not use these types of sources, otherwise you will lose
points.
Each case is to be completed by student submitting the case.
The student must work alone and reflect the work of that student.
All DeVry University policies are in effect, including the
plagiarism policy. Late papers will not be accepted without prior
permission.
Submit completed papers as a Microsoft Word-formatted
document. Documents authored in other applications, such as
WordPerfect or Microsoft Works, will not be accepted. A sample case
study can be found by downloading this document “Sample Case
Study,” which can be downloaded from the the Course Resources page
within the Course Specific Resources section.
In addition to the above specifications, these specifics
apply to this specific case study.
This is a personal case study. Each case study will be unique
to the student submitting it.
By Wednesday of Week 1 forecasts the scores you think you
will achieve for Weeks, 1, 2, 3, and 4 and send them to your
professor.
“During Week 5, using your actual scores for Weeks 1, 2, 3,
and 4 and your forecast values, calculate a regression equation, r,
and R2 for this data.
Prepare a case study document to answer the following
questions. The case study should have a cover page, intro, and body
that follows APA format. If a reference is used, such as our text,
then a reference page should be included, and appropriate
citation(s) should appear in the body of your case study. See the
sample case study above for guidance.
1. What data did you use in your regression equation? Which
is the independent and dependent variable?
2. What is the regression equation, r, and R2 for your data?
3. Statistically, what does r and R2 tell you?
4. Based on your empirical evidence, how who well did you
forecast your results? Justify your response.
You can use any method you like to complete this assignment;
however, you need to show your work. Two items in Excel are useful.
The correl function will return the correlation coefficient and
add-in called “Data Analysis” has a function called regression that
will provide all the rest of the information you should need.
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