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The Chinese University of Hong Kong
Mid term , final and homework
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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.
1. Mid-term course evaluation and term-end course evaluation
2. Student-staff consultative committee meeting(s).
This course introduces the general methodology in regression analysis. The use of statistical packages R will be
Assignment 20%, Mid-term 30%, Final 50%
20% test 1
20% test 2
*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.
Assignment * 6 15
Test 1 20
Test 2 20
Centralized Final 45
linear regression的内容，linear 和 multivariate都讲，难
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%
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