STAT200 Regression Analysis
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2018 - 2019 .
Course responsible: Ellen Sandberg, Ellen Sandberg
Teachers: Hilde Vinje
ECTS credits: 5
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: EN
Limits of class size:
Teaching exam periods:
This course starts in January block. This course has teaching/evaluation in January block.
Course frequency: Annually
First time: 2003H
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.
The students will learn how to analyze data using linear and logistic regression, both single and multiple regression, and also with categorical variables.
Lectures, project work in groups and individually, exercises in groups, individual study.
The teacher is always available. Colloquia with assistant teacher.
Canvas, E-mail to firstname.lastname@example.org
Textbook will be announced at first lecture, and in Canvas
STAT100 or equivalent basic statistics course.
Compulsory project assignments.
3.5-hour written examination, counts 100 %.The exam will only be given in English.
Lectures: 30 hours. computer exercises: 30 hours. Individual study: 90 hours.
Special requirements in Science
Reduction of credits:
ECN201, ECN202 and STAT300. Full reduction.
Type of course:
Lectures: 2 hours daily.
Exercises: 2 hours daily.
An external examiner approves the examination questions and marks 25 random examination papers together with the lecturer.
Allowed examination aids: C2 Alle typer kalkulatorer, alle andre skriftlige hjelpemidler.
Examination details: One written exam: A - E / Ikke bestått