Startsida
Regression Methods, 7,5 credits
This course is about regression methods comprising simple and multiple regression and an introduction to models for binary regression. The course contents is a mix of theoretical concepts and exercises using standard computer packages for regression. Concepts are point and interval estimation, pair wise and multiple correlation, prediction, polynomial and categorical explanatory variables, interaction effects, partial F-tests, multicollinearity problems, measures for comparison of models and algorithmic model selection procedures.
Language of instruction: English
Level: Undergraduate level 1
Department offering the course: Department of Computer and Information Science
Contact: Lilian Alarik, 011-36 35 90, studievagledare-statistik@liu.se
Lotta Hallberg, 013-28 16 57, ann-charlotte.hallberg@liu.se
Specific admission requirements: Student’s entering the course should have passed at least one course in basic statistics, and at least one course in mathematics. Documented knowledge of English equivalent to Engelska B/Engelska 6; i.e. English as native language or an internationally recognized test, e.g. TOEFL (minimum scores: Paper based 575 + TWE-score 4.5, and internet based 90), IELTS, academic (minimum score: Overall band 6.5 and no band under 5.5), or equivalent.
| Course information | ||
|---|---|---|
| Semester: Autumn 2013 | ||
| Enrolment code: LIU-46105 | ||
| Rate of study: Part-time | ||
| Campus: Linköping | ||
| Study Period: 201334 - 201343, 19 August - 25 October 2013 | ||
| Course code: 732G28 | ||
| Tuition fee: 11873 SEK | ||
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Last updated: Thu Jun 06 03:38:52 CEST 2013
