Course code STAT200

STAT200 Regression Analysis

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Showing course contents for the educational year 2016 - 2017 .

Course responsible: Ellen Sandberg
Teachers: Hilde Vinje
ECTS credits: 5
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: EN
(NO=norsk, EN=Engelsk)
Limits of class size:
300
Teaching exam periods:
This course starts in January block. This course has teaching/evaluation in January block.
Course frequency: Annually
First time: 2003H
Course contents:
Estimation and testing in simple and multiple linear regression models and in logistic regression models. Indicator predictor variables. Subset selection. Analysis of residuals. Assessment of models. Predictions. Application of statistical software.
Learning outcome:
The students will learn how to analyze data using linear and logistic regression, both single and multiple regression, and also with indicator predictor variables.
Learning activities:
Lectures, project work in groups and individually, exercises in groups, individual study.
Teaching support:
The teacher is always available. Groups with assistant teacher.
Syllabus:
Textbook will be announced at first lecture.
Prerequisites:
STAT100 or equivalent basic statistics course.
Recommended prerequisites:
Mandatory activity:
Compulsory project assignments.
Assessment:
3.5-hour written examination.
Nominal workload:
Lectures: 30 hours. computer exercises: 30 hours. Individual study: 90 hours.
Entrance requirements:
Special requirements in Science
Reduction of credits:
ECN201, ECN202, STAT300 and STAT341, full reduction.
Type of course:

Lectures: 2 hours daily.

Computer exercises: 2 hours daily.

Examiner:
An external examiner approves the examination questions and marks 25 selected examination papers together with the lecturer.
Allowed examination aids: All types of calculators, all other aids.
Examination details: One written exam: A - E / Ikke bestått