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STAT3008 Applied Regression Analysis

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Course Reviews on STAT3008 Applied Regression Analysis

Shared by Anonymous

2021-04-26

Professor: Philip Lee


Course Description
Regression Analysis
Assessment
20% Assignment, 35% Midterm, 45% Final
Grading
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Shared by Anonymous

2018-08-25

Professor: CHEUNG, Siu Hung


Course Description
唔好reg呢個教授既3008 完全係無教過regression

只係求其要我地plug in formula

本身佢唔係stat/math出身

reg sem2 professor yau
Assessment
Grading
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Shared by Anonymous

2018-08-25

Professor: CHEUNG, Siu Hung


Course Description
Linear Regression

Logistic Regression

Piecewsie Regression

Assessment
15% Assignment

35% Mid Term

50% Final
Grading
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Shared by Anonymous

2018-08-25

Professor: CHEUNG, Siu Hung


Course Description
*17-18 Sem 1*

The course introduces regression methodologies. Topics include the use of correlation coefficient as a

measure of relationship, the use of simple linear regression, multiple regression and logistic regression in

projection and forecasting, as well as the use of model building techniques to incorporate qualitative

variables in prediction.
Assessment
Assignment * 6 15

Test 1 20

Test 2 20

Centralized Final 45
Grading
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Shared by Anonymous

2018-08-25

Professor:


Course Description
Regression Analysis
Assessment
30% Midterm

50% Exam
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: CHEUNG, Siu Hung


Course Description
Regression
Assessment
15% assignment

20% test 1

20% test 2

45% final
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: Yau Chun Yip


Course Description
regression
Assessment
assignment+midterm+final
Grading
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Shared by Anonymous

2018-08-25

Professor: Yau Chun Yip


Course Description
This course introduces the general methodology in regression analysis. The use of statistical packages R will be

demonstrated
Assessment
Assignment 20%, Mid-term 30%, Final 50%
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: Yau Chun Yip


Course Description
This course introduces the general methodology in regression analysis. Topics include least squares method in simple and multiple regression, weighted least squares, diagnostic checkings, variables selection, dummy variables and multicollinearity. A laboratory section will be held to demonstrate the use of related statistical packages and provide student sopportunities for hands-on practices.
Assessment
1. Mid-term course evaluation and term-end course evaluation

2. Student-staff consultative committee meeting(s).
Grading
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Shared by Anonymous

2018-08-25

Professor: Yau Chun Yip


Course Description
Regression analysis
Assessment
Mid term , final and homework
Grading
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Shared by Anonymous

2018-08-25

Professor: Yau Chun Yip


Course Description
linear regression的内容,linear 和 multivariate都讲,难
Assessment
Assignment 4-5 assignments on problems solving 20%

Mid-term Examination One two-hour written mid-term test, Monday 29/10 30%

Final Examination One two-hour written examination 50%
Grading
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