Top of Form Simple Regression Models Case Study: Mystery Shoppers   1 Unsatisfactory 0.00% 2 Less than Satisfactory 74.00% 3 Satisfactory 79.00% 4 Good 87.00% 5 Excellent 100.00% 70.0 %Content 15.0 %Predict Final Scores and Statistical Significance  A prediction of final scores and the statistical significance is not included.  A prediction of final scores and the statistical significance is present, but it is inaccurate or incomplete.  A basic prediction of final scores and the statistical significance is present.  A prediction of final scores and the statistical significance is clearly provided and well-developed.  A precise prediction of final scores and the statistical significance is thoroughly developed with supporting details.  15.0 %Recommend Whether Store Location Should be Closed  A recommendation of whether a particular store location should be closed is not included.  A recommendation of whether a particular store location should be closed is included, but it lacks detail or is incomplete.  A recommendation of whether a particular store location should be closed is included.  A clear recommendation of whether a particular store location should be closed is provided and well-developed.  A comprehensive recommendation of whether a particular store location should be closed is thoroughly developed with supporting details.  15.0 %Explain Approach and Rationale An explanation of the approach and rationale for method used to provide predictions and recommendation is not included. An explanation of the approach and rationale for method used to provide predictions and recommendation is included, but it lacks detail or is incomplete.  An explanation of the approach and rationale for method used to provide predictions and recommendation is included.  A clear explanation of the approach and rationale for method used to provide predictions and recommendation is included.  A comprehensive explanation of the approach and rationale for method used to provide predictions and recommendation is thoroughly developed with supporting details.  15.0 %Evaluate Outcomes of Regression Model  An evaluation of the outcomes of the selected regression model and responses to questions from Mrs. Turner is not included. An evaluation of the outcomes of the selected regression model and responses to questions from Mrs. Turner is included, but it lacks detail or is incomplete. An evaluation of the outcomes of the selected regression model and responses to questions from Mrs. Turner is included. A complete evaluation of the outcomes of the selected regression model and responses to questions from Mrs. Turner is included. A comprehensive evaluation of the outcomes of the selected regression model and responses to questions from Mrs. Turner is thoroughly developed with supporting details.  10.0 %Excel Spreadsheet A copy of the Excel spreadsheet file used to design the regression model and to determine statistical significance is not included.  A copy of the Exc ...

1. Top of Form
Simple Regression Models Case Study: Mystery Shoppers
1
Unsatisfactory
0.00%
2
Less than Satisfactory
74.00%
3
Satisfactory
79.00%
4
Good
87.00%
5
Excellent
100.00%
70.0 %Content
15.0 %Predict Final Scores and Statistical Significance
A prediction of final scores and the statistical significance is
not included.
A prediction of final scores and the statistical significance is
present, but it is inaccurate or incomplete.
A basic prediction of final scores and the statistical significance
is present.
A prediction of final scores and the statistical significance is
clearly provided and well-developed.
A precise prediction of final scores and the statistical
significance is thoroughly developed with supporting details.
15.0 %Recommend Whether Store Location Should be Closed
A recommendation of whether a particular store location should

2. be closed is not included.
A recommendation of whether a particular store location should
be closed is included, but it lacks detail or is incomplete.
A recommendation of whether a particular store location should
be closed is included.
A clear recommendation of whether a particular store location
should be closed is provided and well-developed.
A comprehensive recommendation of whether a particular store
location should be closed is thoroughly developed with
supporting details.
15.0 %Explain Approach and Rationale
An explanation of the approach and rationale for method used to
provide predictions and recommendation is not included.
An explanation of the approach and rationale for method used to
provide predictions and recommendation is included, but it
lacks detail or is incomplete.
An explanation of the approach and rationale for method used to
provide predictions and recommendation is included.
A clear explanation of the approach and rationale for method
used to provide predictions and recommendation is included.
A comprehensive explanation of the approach and rationale for
method used to provide predictions and recommendation is
thoroughly developed with supporting details.
15.0 %Evaluate Outcomes of Regression Model
An evaluation of the outcomes of the selected regression model
and responses to questions from Mrs. Turner is not included.
An evaluation of the outcomes of the selected regression model
and responses to questions from Mrs. Turner is included, but it
lacks detail or is incomplete.
An evaluation of the outcomes of the selected regression model
and responses to questions from Mrs. Turner is included.
A complete evaluation of the outcomes of the selected
regression model and responses to questions from Mrs. Turner
is included.

3. A comprehensive evaluation of the outcomes of the selected
regression model and responses to questions from Mrs. Turner
is thoroughly developed with supporting details.
10.0 %Excel Spreadsheet
A copy of the Excel spreadsheet file used to design the
regression model and to determine statistical significance is not
included.
A copy of the Excel spreadsheet file used to design the
regression model and to determine statistical significance is
included but lacks accuracy or is incomplete.
A copy of the Excel spreadsheet file used to design the
regression model and to determine statistical significance is
included.
A complete copy of the Excel spreadsheet file used to design
the regression model and to determine statistical significance is
included.
A detailed and accurate copy of the Excel spreadsheet file used
to design the regression model and to determine statistical
significance is included.
20.0 %Organization and Effectiveness
7.0 %Thesis Development and Purpose
Paper lacks any discernible overall purpose or organizing claim.
Thesis is insufficiently developed or vague. Purpose is not
clear.
Thesis is apparent and appropriate to purpose.
Thesis is clear and forecasts the development of the paper.
Thesis is descriptive and reflective of the arguments and
appropriate to the purpose.
Thesis is comprehensive and contains the essence of the paper.
Thesis statement makes the purpose of the paper clear.
8.0 %Argument Logic and Construction
Statement of purpose is not justified by the conclusion. The

4. conclusion does not support the claim made. Argument is
incoherent and uses noncredible sources.
Sufficient justification of claims is lacking. Argument lacks
consistent unity. There are obvious flaws in the logic. Some
sources have questionable credibility.
Argument is orderly, but may have a few inconsistencies. The
argument presents minimal justification of claims. Argument
logically, but not thoroughly, supports the purpose. Sources
used are credible. Introduction and conclusion bracket the
thesis.
Argument shows logical progressions. Techniques of
argumentation are evident. There is a smooth progression of
claims from introduction to conclusion. Most sources are
authoritative.
Clear and convincing argument that presents a persuasive claim
in a distinctive and compelling manner. All sources are
authoritative.
5.0 %Mechanics of Writing (includes spelling, punctuation,
grammar, language use)
Surface errors are pervasive enough that they impede
communication of meaning. Inappropriate word choice or
sentence construction is used.
Frequent and repetitive mechanical errors distract the reader.
Inconsistencies in language choice (register) or word choice are
present. Sentence structure is correct but not varied.
Some mechanical errors or typos are present, but they are not
overly distracting to the reader. Correct and varied sentence
structure and audience-appropriate language are employed.
Prose is largely free of mechanical errors, although a few may
be present. The writer uses a variety of effective sentence
structures and figures of speech.
Writer is clearly in command of standard, written, academic
English.
10.0 %Format

5. 5.0 %Paper Format (use of appropriate style for the major and
assignment)
Template is not used appropriately or documentation format is
rarely followed correctly.
Appropriate template is used, but some elements are missing or
mistaken. A lack of control with formatting is apparent.
Appropriate template is used. Formatting is correct, although
some minor errors may be present.
Appropriate template is fully used. There are virtually no errors
in formatting style.
All format elements are correct.
5.0 %Documentation of Sources (citations, footnotes,
references, bibliography, etc., as appropriate to assignment and
style)
Sources are not documented.
Documentation of sources is inconsistent or incorrect, as
appropriate to assignment and style, with numerous formatting
errors.
Sources are documented, as appropriate to assignment and style,
although some formatting errors may be present.
Sources are documented, as appropriate to assignment and style,
and format is mostly correct.
Sources are completely and correctly documented, as
appropriate to assignment and style, and format is free of error.
100 %Total Weightage
Bottom of Form

6. Simple Regression Models Case Study: Mystery Shoppers
Chic Sales is a high-end consignment store with several
locations in the metro area. The company noticed a decrease in
sales over the last fiscal year. Research indicated customer
satisfaction had decreased and the owner, Pat Turner, decided to
create a mystery shopper program.
The mystery shopper program lasted over a 6-month period,
employing several loyal and new customers assigned to each
location. Surveys were on a 100-point scale and involved
categories such as “Staff Attitude,” “Store Cleanliness,”
“Product Availability,” and “Display(s) Appeal.”
After the mystery shopper period concludes, Mrs. Turner sends
you the following e-mail:
From: Pat Turner
Sent: Thursday, July 7, 2016 8:57 a.m.
Subject: Mystery Data Shopper Stats and Store Performance?
Good morning! Welcome back from vacation I hope you had a
wonderful Fourth of July.
The last mystery shopper surveys came in and I have the final
numbers. I am interested in whether there is a way to predict the
final average based on the initial survey score. Also, is there a
statistically significant relationship between how stores initially
performed and what the overall average is?
The initial survey score and the final average data for all seven
store locations is in the table below:
Store
1
2

7. 3
4
5
6
7
Initial Survey Score
83
97
84
72
85
64
93
Final Average
78
98
92
75
88
70
93
Also, how good is the relationship between Initial Survey Score
and the Final Average? Could I use an Initial Survey Score to
predict a Final Average? In fact, could I predict a Final
Average if I have an Initial Survey Score of 90?
If you could have this to me before the weekend, that would be
great.
Thanks so much!
Pat Turner, Owner
Chic Sales Consignment, LLC
© 2016. Grand Canyon University. All Rights Reserved.