Curricula Guides
2017–2018
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
MTTTA6
Regression analysis
5
ECTS
Organised by
Degree Programme in Mathematics and Statistics
Preceding studies
Recommended:
Corresponding course units in the curriculum
Learning outcomes
After completing the course the student can fit a linear regression model to empirical data and can derive and prove the basic results of linear regression analysis including its sum-of-squares decomposition. Additionally the student can perform linear regression analysis based on matrix operations with some statistical software.
Contents
Linear regression analysis with one explanatory variable, graphical inspection, defining a linear model, parameter estimation, hypothesis testing, specific regression models, problems related to building a regression model.
Modes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
lectures, exercises, exam
Participation in course work
In
Finnish
In
English
Option
2
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
written exam
Written exam
In
Finnish
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Natural Sciences
Faculty of Natural Sciences
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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Faculty of Natural Sciences