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)
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Criteria
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Marks
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Details
|
|
Data Analysis & Visualization
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15
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5 marks: Describe the chosen dataset and its variables of interest.
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5 marks: Perform exploratory data analysis using appropriate R functions and packages.
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5 marks: Visualize the data using plots, histograms, scatterplots, or other relevant graphical techniques.
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|
Linear Regression
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20
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5 marks: Conduct linear regression analysis using R.
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5 marks: Specify the regression model and justify the choice of variables.
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5 marks: Interpret the coefficients.
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5 marks: Assess the goodness-of-fit of the model.
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|
Diagnostics & Remedial Measures
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15
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5 marks: Perform diagnostic checks on the regression model to assess its validity.
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5 marks: Identify any violations of the as- sumptions of linear regression.
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5 marks: Implement appropriate remedial measures to address any issues identified.
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|
Conclusion
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10
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5 marks: Summarize the key findings of the regression analysis.
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5 marks: Discuss the implications of the results and any insights gained from the analysis.
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Table 2: Marking Criteria 2 (40 marks)
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Criteria
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Marks
|
|
Clear and concise manner, with appropriate headings and subheadings.
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5
|
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Clarity and organization of the report.
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5
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Quality and professionalism of the overall report.
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5
|
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Depth, accuracy and completeness of the regression analysis.
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5
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The program runs correctly.
|
5
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Include R code snippets to demonstrate their analy- sis and visualization techniques.
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5
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Originality
|
5
|
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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.