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 students opportunities for hands-on practices.

Assessment

Final, midterm, assignment (according to course outline)

Grading

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Teaching Skills & Others

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