ST300 Summative Project

Instructions
The aim is to analyse and present findings on your choice of dataset with R
(other packages not allowed). The focus is to model the relationship between
the response variable and a set of predictors.
You may work individually or in a group of up to 5, and you are encouraged to
form a team. You are responsible for forming a team. Please submit the
candidate numbers of your team member(s) by end of Week 6 through this
Google sheet. You may change groups after this time by editing the sheet.
The difference in working individually and in a team is that in each person in a
team proposes a model, and the extra step is that the team compares all the
models, and nominates the best one giving reasons for doing so.

See the separate document Guidelines for project


Deadline
The due date is: 12:00pm (noon) Monday 3 January 2022

Assessment
The project counts for 15% of the marks. The project is marked out of 100
excluding bonus marks and credit will be given as follows:

Introduction
data description and EDA
5
Model
Variable selection; diagnostic checks and dealing with
any issues; are parameter estimates plausible? Why is
the model useful?
Comparison of candidate models
30
Interpreting the model parameters 15
Understanding the limitations of the model 10
Quality of write-up /narrative
R code
35
10
Penalty
Excessive figures/tables without discussion


-10


The work will be subject to checks for plagiarism.




How to submit your project
Your work should be submitted anonymously under your candidate number(s).
You can look up your candidate number in LSE for you. By the deadline, you
must have:
• Upload your project with appendix that contains the R code, and data
using the specified Moodle link on the ST300 Moodle. The file should be
in PDF format (not zipped).
When the submission deadline has passed, a list of candidate numbers for the
work received will be put up on Moodle. Each student must check from that
list that their work has been received.
Extensions to deadlines for coursework will only be given in fully documented
serious extenuating circumstances.



Penalties
Penalties will apply for late submission, at 2 marks each day (40 marks total).







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