STAT202-17S2 (C) Semester Two 2017

Regression Modelling

15 points

Details:
Start Date: Monday, 17 July 2017
End Date: Sunday, 19 November 2017
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2017
  • Without academic penalty (including no fee refund): Sunday, 15 October 2017

Description

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.

Learning Outcomes

  • On completing this course you will
  • be able to analyze data using simple and multiple regression models as well as logistic regression
  • understand the relationship between regression and ANOVA
  • understand diagnostics for testing modelling assumptions
  • understand methods for model selection
  • be able to interpret computer output, and be able to write reports that analyse data and interpret computer output

Prerequisites

Restrictions

FORE210, STAT220, FORE224, STAT224

Course Coordinator

Luis Apiolaza

Assessment

Assessment Due Date Percentage 
10 Lab Assignments - 5% each 50%
Final Examination 50%

Indicative Fees

Domestic fee $735.00

International fee $3,525.00

* 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 .

All STAT202 Occurrences

  • STAT202-17S2 (C) Semester Two 2017
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