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, examParticipation in course work