Overview

This unit will introduce students to fundamental statistical areas of research design and linear models. It examines how multiple regression and Analysis of Variance (ANOVA) can be used to analyse experimental and observational research using a variety of research designs.

Requisites

Prerequisites
STA10003 Foundations of Statistics
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026
Teaching Period 1
Location
Online
Start and end dates
09-March-2026
07-June-2026
Last self-enrolment date
22-March-2026
Census date
07-April-2026
Last withdraw without fail date
28-April-2026
Results released date
30-June-2026
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:
 

  1. Apply and analyse data using multiple regression models
  2. Interpret the results of multiple regression
  3. Identify and explain the concepts of mediation and interaction (moderation) within multiple regression models
  4. Identify and explain the concept of interaction with ANOVA models
  5. Write concise reports of analyses

Teaching methods

Hawthorn

Activity Type Activity Total Hours Number of Weeks Hours Per Week Venue Type and Activity Detail
On-campus Class 24 12 weeks 2 Tutorial
Specified Activities Various 36 12 weeks 3 Textbook exercises, Quizzes
Online Lecture 24 12 weeks 2 Asyncronous lecture recordings
Unspecified Activities Various 66 12 weeks 5.5 Independent study, Assignment preparation, Revision
Total Hours: 150 Total Hours (per week): 12.5  

Hawthorn Online

Activity Type Activity Total Hours Number of Weeks Hours Per Week Venue Type and Activity Detail
Live Online Class 24 12 weeks 2 Collaborate sessions
Online Directed Online Learning and Independent Learning 126 12 weeks 10.5 Readings, Viewing asynchronous lecture videos, Tedtalks, Self-check tests, Online tests, Webinars, Interactive DB activities, Online eLA-student interactions
Total Hours: 150 Total Hours (per week): 12.5  

Assessment

Type Task Weighting ULO's
Assignment Individual  40%  1,2,3,4,5
Online Tests Individual  20%  1,2,3,4,
Test Individual  40%  2,3,5

Content

  • A review of fundamentals
  • Review of correlation and simple linear regression
  • Hypothesis testing
  • Introduction to multiple regression models
  • Multiple regression
  • Part and partial correlation
  • Presentation of results
  • Testing assumptions for regression
  • Testing for interactions
  • Analysis of variance models
  • Introduction to the analysis of variance 
  • Single factor independent groups design
  • Completely randomised factorial design
  • Single factor within subjects design
  • Mixed factorial design
  • Graduate Attribute 1 (Communication 1 - Verbal Communication)
  • Graduate Attribute 2 (Communication 2 - Communicating using different media)
  • Graduate Attribute 5 (Digital Literacies 1 - Information literacy)
  • Graduate Attribute 6 (Digital Literacies 2 - Technical literacy)

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.