STAT202-23S2 (C) Semester Two 2023

# Regression Modelling

15 points

Details:
 Start Date: Monday, 17 July 2023 End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Sunday, 30 July 2023
• Without academic penalty (including no fee refund): Sunday, 1 October 2023

## 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

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

## Restrictions

FORE210, STAT220, FORE224, STAT224

## Course Coordinator

For further information see Mathematics and Statistics Head of Department

## Assessment

Assessment Due Date Percentage  Description
Lab Assignments 50% 10 assigments worth 5% each
End-of-Year Exam 50%

## Indicative Fees

Domestic fee \$824.00

International fee \$4,750.00

* 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

• STAT202-23S2 (C) Semester Two 2023