DTS206TC Applied Linear Statistical Models
Data Analysis with Linear Statistical Models using R
Task.
For this coursework, you are required to choose a dataset of your own interest and per-form a regression analysis using R. You will then write a short report documenting your analysis and findings.
Report Requirements: The report should cover the following key aspects:
Table 1: Marking Criteria 1 (60 marks)
|
Criteria |
Marks |
Details |
|
Data Analysis & Visualization |
15 |
5 marks: Describe the chosen dataset and its variables of interest. |
|
5 marks: Perform exploratory data analysis using appropriate R functions and packages. |
||
|
5 marks: Visualize the data using plots, histograms, scatterplots, or other relevant graphical techniques. |
||
|
Linear Regression |
20 |
5 marks: Conduct linear regression analysis using R. |
|
5 marks: Specify the regression model and justify the choice of variables. |
||
|
5 marks: Interpret the coefficients. |
||
|
5 marks: Assess the goodness-of-fit of the model. |
||
|
Diagnostics & Remedial Measures |
15 |
5 marks: Perform diagnostic checks on the regression model to assess its validity. |
|
5 marks: Identify any violations of the as- sumptions of linear regression. |
||
|
5 marks: Implement appropriate remedial measures to address any issues identified. |
||
|
Conclusion |
10 |
5 marks: Summarize the key findings of the regression analysis. |
|
5 marks: Discuss the implications of the results and any insights gained from the analysis. |
Table 2: Marking Criteria 2 (40 marks)
|
Criteria |
Marks |
|
Clear and concise manner, with appropriate headings and subheadings. |
5 |
|
Clarity and organization of the report. |
5 |
|
Quality and professionalism of the overall report. |
5 |
|
Depth, accuracy and completeness of the regression analysis. |
5 |
|
The program runs correctly. |
5 |
|
Include R code snippets to demonstrate their analy- sis and visualization techniques. |
5 |
|
Originality |
5 |
|
Reference |
5 |
Note: for each item in the tables above, the work will be marked with the standard be- low:
. excellent = 5 marks
. good = 3 marks
. fair = 1 marks
. poor = 0 marks
Submission requirements.
. Only English solutions are accepted.
. Both report and codes should be submitted.
. File naming rule:
– report: DTS206TC CW StudentID.pdf
– code: DTS206TC CW StudentID.R
If multiple code files are to submit, create a code folder compresse it as .zip file, with the name of DTS206TC CW StudentID codes.zip
. File format
– report : only .pdf is accepted.
– code : .R
– Data : Please do NOT include the data in the folder if the data is more than 80M. If you would like to share the data, please upload it to any e-Drive and paste the share link in the report (as reference or footnote).
– Coverpage should be inserted in the report.
. Page limit: 10-30 pages
. The assignment must be submitted via Learning Mall Online to the correct drop box. Only electronic submission is accepted and no hard copy submission.