CW2-TimesSeriesData1.xls1004SSLCW2-AssignmentBrief123
>Burglaries
16.8
1 1 .3
.4
1 1 1 Electricity:Terrawatt hours Domestic 844
22.47 8
31.54 25.5 .7
56 184 .8
33 36 146.3 Thisdocument is for Coventry University students for their own use in completing their assessed work for this module and should not be
passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk
Assignment Brief Faculty of Business and Law Assignment Brief Module Title: Business Analytics Assignment CW2 (50%) Module Code: 1004SSL Assignment Title CW2
Release Date: 25/03/19 Module Leader Amritpal Slaich
Submission 29/04/19 at 18:00:00 Module Team Evans Gyasi, Ahmad Daowd, Submission Submission online Assignment Information Module learning outcomes being assessed:
LO1. Define and evaluate key concepts of business analytics
LO2. Critically apply business analytical skills in business cases.
LO3. Critically apply and interpret the outputs of data mining models and forecasting results for
end-users.
LO4. Solve managerial problems and make systematic decisions by applying business data analysis
techniques.
This is an individual coursework. Your coursework consists of the following tasks. Some similar tasks will be performed in
seminars with the tutors’ guidance. However, some parts of these tasks will require
independent study.
Attempt all three tasks.
Maximum total word count: 2250 words
mailto:acreg.fbl@coventry.ac.uk This document is for Coventry University students for their own use in completing their assessed work for this module and should not be
passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk Assignment Brief For this individual coursework you will be assigned a set of time series data covering 5
years.
You are required to:
Experiment with different forecasting models and decide on the most appropriate time series
model for your data. Use your model to forecast the four quarterly figures for the year
following the end of your data. Compare your forecasts with the actual figures for that year,
which you will have been given. Investigate and give a brief explanation of how clustering
could be used as a part of your time series analysis. Write a well-structured report of your
findings.
The marking scheme is as follows:
Report Structure and Presentation [10 Marks] Introduction to the data [10 Marks] Time series analysis [30 Marks] Forecasts [20 Marks] Critical explanation of using clustering as part of time series analysis [20 Marks] Copies of the 2 models in appendix of report [10 Marks] mailto:acreg.fbl@coventry.ac.uk This document is for Coventry University students for their own use in completing their assessed work for this module and should not be Assignment Brief Assessment Criteria
Mark range Guidelines
70 – 100%
The work submitted shows an excellent level of understanding and application of time
60 – 69%
The work submitted demonstrates a good understanding and application of time series
50 – 59%
The work submitted demonstrates a reasonable understanding and application of time
40 – 49%
The work is incomplete with limited and basic understanding of time series modeling. The
35 – 39%
The work submitted includes limited understanding of time series modeling and
20 – 34%
The work submitted is poor and shows little effort. The work bears little relation to the 0 – 19% The work shows a complete failure to meet the requirements of the assignment. There is mailto:acreg.fbl@coventry.ac.uk This document is for Coventry University students for their own use in completing their assessed work for this module and should not be Assignment Brief Word count The word limit for this coursework is 2250 words. It is recommended that you only use appendices (if needed)
How to submit your assessment The assessment must be submitted by 18:00:00 on 29/04/2019. No paper copies are required. You can access
Your coursework will be given a zero mark if you do not submit a copy through Turnitin. Please take care
to ensure that you have fully submitted your work.
All work submitted after the submission deadline without a valid and approved reason (see below) will be The University wants you to do your best. However, we know that sometimes events happen which mean Students MUST keep a copy and/or an electronic file of their assignment.
Checks will be made on your work using anti-plagiarism software and approved plagiarism checking
GUIDELINES AND BACKGROUND TO THIS ASSIGNMENT Plagiarism As part of your study you will be involved in carrying out research and using this when writing up your Moodle includes a plagiarism detection system and assessors are experienced enough to recognise plagiarism Return of Marked Work mailto:acreg.fbl@coventry.ac.uk https://share.coventry.ac.uk/students/Registry/Pages/Deferrals-and-Extension.aspx https://share.coventry.ac.uk/students/Registry/Pages/Deferrals-and-Extension.aspx http://www.coventry.ac.uk/caw Turnitin Report Formatting Title Page Citation Outline
2
Burglaries in England and Wales (Thousands)
Year
Quarter
2007
1
3
2007 2
283.5
2007 3
271.6
2007
4
292.6
2008
279.3
2008 2
257.7
2008 3
230.8
2008 4
247.2
2009
252.6
2009 2
240
2009 3
2
33
2009 4 240
2010
239.5
2010 2
235.1
2010 3
220.6
2010 4
222.3
2011
228.3
2011 2
212.7
2011 3
199.3
2011 4
208.4
2012
215.6
2012 2
210.5
2012 3
214.6
2012 4
220.1
Fuel
Sales by the Gas and public electricity supply systems
Gas:gigawatt hours
Electricity:Terrawatt hours
Year Quarter
Domestic
Commercial
2007 1
134293
22.47
31.9
2007 2
54841
19.83
21.86
2007 3
30818
19.61
19.17
2007 4
103058
21.81
29.27
2008 1
160624
22.22
33.9
2008 2
71981
19.7
22.94
2008 3
36
19.53
20.12
2008 4
106392
22.5
30.
56
2009 1
137264
25.7
31.54
2009 2
61594
22.33
2009 3
35634
22.63
20.29
2009 4
111041
25.5
30.3
2010 1
134260
25.62
32.35
2010 2
68490
22.51
24.36
2010 3
34005
22.15
21.16
2010 4
119140
26.33
2011 1
138555
26.73
33.85
2011 2
66352
23.49
23.69
2011 3
31983
22.98
21.55
2011 4
120
176
25.63
31.22
2012 1
144322
32.64
2012 2
68553
24.77
23.64
2012 3
32959
24.39
23.37
2012 4
124075
26.13
32.2
BirthsMarriages & Deaths
UK Births, Marriages and Deaths in thousands
Year Quarter
births
marriages
deaths
2007 1
178.4
39.3
180.8
2007 2
184
87.1
151.3
2007 3
186.3
128.9
141.5
2007 4
177
54.9
158.9
2008 1 176
37.7
166.7
2008 2
178.9
85.6
152.3
2008 3
187.1
125.5
143.1
2008 4
175
165.4
2009 1
171.9
36.9
2009 2 177
83.4
143.5
2009 3
180.3
124.6
139.2
2009 4
170.9
56.2
162.7
2010 1
168.2
35.2
183.2
2010 2
169.3
84.6
142.8
2010 3
173.8
132.5
134.7
2010 4
167
52.9
149.9
2011 1
164.9
167.6
2011 2 167
81.1
146.3
2011 3
171.7
120.4
137.6
2011 4
165.6
41.6
152.8
2012 1
161
164.1
2012 2
165.2
81.2
2012 3 173.8
120.3
141.1
2012 4
168.9
54.1
156.5
Page 1 of 4
Number and
Weighting
Date/Time:
(6pm)
Abdulrahman Al-Surmi, Amir
Daneshvar, Chiwuokem Nwoko
Time and Place:
through Turnitin
ONLY
Page 2 of 4
passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk
Page 3 of 4
series modeling with accurate forecast for the four quarterly figures. In addition there will
be an excellent critical explanation of using clustering as part of time series analysis.
Copies of the 2 models have been included in the appendix of the report. The assignment
must be written in a professional, clear, well-structured and coherent style.
modeling with good forecasts for the four quarterly figures. In addition there will be a
good critical explanation of using clustering as part of the time series analysis. Copies of
the 2 models have been included in the appendix of the report. The assignment will be
well organized, professionally written and presented with few errors.
series modeling and includes forecasts for the four quarterly figures. In addition there will
be a reasonable critical explanation of clustering could be used as part of the time series
analysis. Copies of the 2 models have been included in the appendix of the report. In
addition the assignment may not be particularly well structured, and/or clearly
presented. It contains some spelling mistakes and grammatical errors.
explanation of how clustering could be used as part of time series analysis is relatively
basic. Copies of the models have been included in the appendix of the report. Not all the
questions have been fully answered. The report could be structured more coherently.
There are spelling mistakes, poorly structured sentences and/or grammatical mistakes
making the work difficult to understand. General statements, which lack explanation.
explaining how clustering could be used as part of time series analysis. There is limited
relevant content and little evidence of application to the questions. The report is
unprofessional in presentation with some grammar and spelling mistakes. There may be
fundamental errors to the report including poor structure and a lack of flow.
assignment. Poor understanding of time series modeling and explaining of how clustering
could be used as part of time series analysis. The report structure and presentation are
poor with spelling and/or grammatical mistakes.
no link to the questions with limited understanding of the requirements and
demonstrates little knowledge or evidence of relevant application. There are numerous
fundamental errors in understanding and/or presentation of the material. Structure and
presentation are poor. Spelling and grammar are poor.
passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk
Page 4 of 4
for supporting material and not for the substantive part of your work. There will be a penalty of a deduction of
10% of the mark (after internal moderation) for work exceeding the word limit by 10% or more. You must state
the total number of words used for this coursework on the front cover of the assignment.
the submission link through the module web.
given a mark of zero.
that you cannot submit your coursework by the deadline – these events should be beyond your control
and not easy to predict. If this happens, you can apply for an extension to your deadline for up to two
weeks, or if you need longer, you can apply for a deferral, which takes you to the next assessment period
(for example, to the resit period following the main Assessment Boards). You must apply before the
deadline. You will find information about the process and what is or is not considered to be an event
beyond your control at https://share.coventry.ac.uk/students/Registry/Pages/Deferrals-and-
Extension.aspx
websites.
coursework. It is important that you correctly acknowledge someone else’s writing, thoughts or ideas and that
you do not attempt to pass this off as your own work. Doing so is known as plagiarism. It is not acceptable to
copy from another source without acknowledging that it is someone else’s writing or thinking. This includes
using paraphrasing as well as direct quotations. You are expected to correctly cite and reference the works of
others. The Centre for Academic Writing provides documents to help you get this right. If you are unsure,
please visit www.coventry.ac.uk/caw. You can also check your understanding of academic conduct by
completing the Good Academic Practice quiz available on Moodle.
when it occurs. Copying another student’s work, using previous work of your own or copying large sections
from a book or the Internet are examples of plagiarism and carry serious consequences. Please familiarise
yourself with the CU Harvard Reference Style (on Moodle) and use it correctly to avoid a case of plagiarism or
cheating being brought. Again, if you are unsure, please contact the Centre for Academic Writing, your
Academic Personal Tutor or a member of the course team.
You can expect to have marked work returned to you 15 working days after the submission date. If for any
reason there is a delay you will be kept informed. Marks and feedback will be provided online. As always,
marks will have been internally moderated only, and will therefore be provisional; your mark will be formally
agreed later in the year once the external examiner has completed his / her review.
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