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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.
General information for students
Domestic fee $802.00
International fee $4,563.00
* 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