Analysis of Variance and Regression

STA70007 12.5 Credit Points Online


  • One Semester or equivalent

Contact hours

  • Swinburne Online: Fully online

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2021 teaching periods

Swinburne Online

Teaching Period 1 Teaching Period 2

8 Mar 21 - 6 Jun 21

29 Jun 21

Last self enrolment:
21 Mar 21

2 Apr 21

Last withdraw without fail:
23 Apr 21

5 Jul 21 - 3 Oct 21

26 Oct 21

Last self enrolment:
18 Jul 21

30 Jul 21

Last withdraw without fail:
20 Aug 21


STA70006 Foundations of Statistics

Aims and objectives

This unit introduces 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.
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. Apply and analyse data using analysis of variance (ANOVA) models
5. Explain the concept of interaction with ANOVA models and identify research problems where they can be usefully applied
6. Interpret results of ANOVA models
7. Interpret statistical analyses of data pertaining to theoretical and applied problems in psychology and health and write concise reports on the results of analyses in discipline-relevant style.

Courses with unit

Graduate Diploma of Psychology