The objective of the course is to give an overview of linear, nonlinear and nonparametric regression. On completion of the course, the student will be able to: • specify regression models including conditions and assumptions • select an appropriate regression model for a given problem • carry out a regression analysis in the statistical software R • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions

**Prerequisites**

Statistics I or equivalent, i.e. knowledge of basic
principles of hypothesis testing and confidence
intervals.
Admitted to a Ph.D. program at SLU. If you are not a
Ph.D. student or not at SLU, contact
claudia.von.bromssen@slu.se to check the availability of
places in the course.

*Det finns inga kurstillfällen för denna kurs just nu*

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