everything is automatically checked and if it the similarity is higher that a certain threshold the coursework will not be accepted.
statistics
Description
Topic - Logistic
Regression(x6)
Please upload the
following:
a) final report (pdf or word format)
b) the rmd file and the datasets you used
c) the powerpoint presentation
d) the data
files
please make sure that you have not
copied and pasted texts from books, internet, etc. everything is
automatically checked and if it the similarity is higher that a certain
threshold the coursework will not be accepted.
the marking of your work will be
based on the following:
a) 70% is for the report which further divided
in the following, 40% for the report and 30% for the coding part
--clarity and how well the report
are structured
--how well it covers the topic
--code (readability and outcome)
--does the code meet the needed?
The length of the report must be at least 2500 words.
b) 30% for your presentation
--clarity and how well the
presentation is structured (15%)
--does it cover the key points of
the approach each student chooses? (15%)
c) The total weight of CW1 is 60%
d) Marking criteria and rubric
|
Components |
subcomponents |
Marks |
Desc. |
|
Introduction |
Report |
5 |
·
Very well-defined introduction with clear aims and questions |
|
Data Analysis |
Coding |
10 |
·
Clean code with in-depth data analysis (e.g. Frequency tables, multivariate analysis, covariance analysis, Pearson Correlation etc. |
|
Report：Data analysis |
10 |
||
|
Modelling |
Coding |
10 |
·
Very well defined and explained code. Clear description of each process. Clear screenshots provided. |
|
Report：Description |
10 |
||
|
Results Analysis |
Coding：Visual analysis |
10 |
·
Appropriate charts used (e.g. ROC curve, Validation charts). |
|
Descriptive Analysis |
10 |
