Course code STAT200

STAT200 Regression Analysis

There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.

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Showing course contents for the educational year 2019 - 2020 .

Course responsible: Hilde Vinje
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:

KNOWLEDGE: The students will learn how to analyze data using linear and logistic regression, both single and multiple regression, and also with elements categorical variables.

SKILLS: The students should be able to perform statistical analyzes with the methods mentioned in Knowledge. They should be able to use different models on the same data and be able to validate the models and determine which ones are best suited. They should be able to interpret the results of the analyzes and convey what has been done, the results and the weaknesses and limitations of the analyzes and models. They should understand the importance of having good data (eg, representativeness, independence) in order to draw useful and correct conclusions from a survey.

GENERAL COMPETENCE: The students should be able to apply what they have learned to problems in their studies and later in their professional life and perform analyzes on their own data. At the same time, they should be able to ask critical questions about statistical results that they generate or are presented to them and assess the quality of these results.

Learning activities:
Lectures, project work in groups and individually, exercises in groups, individual study.
Teaching support:

The teacher is always available. Colloquia with assistant teacher.

Canvas, E-mail to ellen.sandberg@nmbu.no

Syllabus:
Textbook will be announced at first lecture, and in Canvas
Prerequisites:
STAT100 or equivalent basic statistics course.
Recommended prerequisites:
Mandatory activity:
Compulsory project assignments.
Assessment:
3.5-hour written examination, counts 100 %.The exam will only be given in English.
Nominal workload:
Lectures: 30 hours. computer exercises: 30 hours. Individual study: 90 hours.
Entrance requirements:
Special requirements in Science
Reduction of credits:
ECN201 og ECN202. Full reduction.
Type of course:

Lectures: 2 hours daily.

Exercises: 2 hours daily.

Examiner:
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 / F