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Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.
This course is of interest to anyone majoring in statistics and forestry, as well as students from other disciplines (e.g. biology, commerce, etc.) who want to increase the breadth of their statistical knowledge base.Regression models are the most widely used statistical tools for examining the relationships among variables. We cover the core concepts in regression modelling, with an emphasis on problem solving as applied to real data. We use R, one of the mostly widely used statistical packages, but no prior knowledge of R is assumed.
On completing this course you will be able to analyze data using simple and multiple regression models as well as logistic regressionunderstand the relationship between regression and ANOVAunderstand diagnostics for testing modelling assumptionsunderstand methods for model selectionbe able to interpret computer output, and be able to write reports that analyse data and interpret computer output
STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)
FORE210, STAT220, FORE224, STAT224
Students must attend one activity from each section.
This course is co-coded with FORE224. Students must register for tutorial sessions which commence on the second week of the course. There is a direct link from your personal Learn page for the course to the student entry point for My Timetable that enables you to self-allocate into one of three lab streams.
Luis Apiolaza
Jenny Harlow
General information for students Library portal LEARN
Domestic fee $897.00
International fee $5,188.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .