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STAT 429 L01 Group Project Description
Department of Mathematics and Statistics, University of
Calgary, Fall 2019
1 Requirement
Students work in teams of two or three. In extreme cases, a team of only one student is allowed,
but students are not encouraged to do so. The last day to inform the course instructor of team
formation and to submit team contract is October 24, Thursday, 2019.
Find a suitable data set for multiple linear regression or logistic regression. Ideally, the data
set used for the individual project should be different from the one used for the group project;
and dedicate one project to multiple linear regression and the other to logistic regression. The
difficulty level of the individual project can be lower than that of the group project.
Define the research question(s) clearly.
Explain the background of the research problem concisely.
Choose appropriate explanatory variables to explain the variation in a continuous/binary response
variable. Use various modeling techniques to construct a valid model, if possible. The
techniques include, but are not limited to, scatter plots, standardized residuals plots, any other
relevant diagnostic plots, transformation, analysis of variance, analysis of covariance, and variable
selection procedures.
State the data analysis results clearly. Make inference based on the final model, for example,
discuss the inference scope of the model, construct confidence interval or prediction interval for
the response variable, if applicable.
Describe any weakness of the final model.
The majority of the work needs to be original, especially the data analysis part. Simple reproduction
of existing study results is not acceptable. Literature review on existing results should
be cited properly.
Refer to the ‘Abstract and Presentation Rubrics’ file in the ‘Project General Info’ folder in D2L
for detailed expectations for your abstract and presentation.
Each team needs to submit an abstract at least one week before the presentation. The abstract
will be posted in D2L in its original format before the scheduled presentation.
Each presentation lasts 15 minutes, including a 10-minute presentation and a 5-minute questionand-answer
period for the audience. Presentations take place in the classroom. The last
two or three weeks of the semester’ lectures are dedicated to group project presentations.
Detailed schedules will be posted before the presentations start.
On or before December 5, each team must submit an electronic copy of the data set and the
corresponding R codes/Rnw file, for evaluation purpose.
2 Grading Scheme
The project is worth 20% of the total evaluation:
abstract: 5%,
Presentation: 15%.

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