STAT202-22S2 (C) Semester Two 2022

Regression Modelling

15 points

Details:
Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022

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

Pre-requisites

STAT101 or
DATA101 or
15 points from 100-level MATH or
EMTH (excluding MATH110)

Restrictions

FORE210, STAT220, FORE224, STAT224

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 15:00 - 16:00 A6 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 13:00 - 14:00 E7 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture C
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 A5 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 16:00 - 17:00 Ernest Rutherford 464 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct
02 Thursday 14:00 - 15:00 Ernest Rutherford 212 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct
03 Thursday 15:00 - 16:00 Ernest Rutherford 212 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct

Course Coordinator

Luis Apiolaza

Lecturer

Jenny Harlow

Indicative Fees

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 .

All STAT202 Occurrences

  • STAT202-22S2 (C) Semester Two 2022