聯系方式

您當前位置:首頁 >> Algorithm 算法作業Algorithm 算法作業

日期:2019-11-17 09:20

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

1

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%.

2


版權所有:編程輔導網 2018 All Rights Reserved 聯系方式:QQ:99515681 電子信箱:[email protected]
免責聲明:本站部分內容從網絡整理而來,只供參考!如有版權問題可聯系本站刪除。

黑龙江体彩22选5