Analysis of Variance and Regression

STA20006 12.5 Credit Points Hawthorn, Online Available to incoming Study Abroad and Exchange students

Duration

  • 1 Semester or equivalent
     

Contact hours

  • 4 Hours per Week

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

2022 teaching periods

Hawthorn

Higher Ed. Semester 1
Hawthorn

Higher Ed. Semester 2

Dates:
28 Feb 22 - 29 May 22

Results:
5 Jul 22

Last self enrolment:
13 Mar 22

Census:
31 Mar 22

Last withdraw without fail:
15 Apr 22

Dates:
1 Aug 22 - 30 Oct 22

Results:
6 Dec 22

Last self enrolment:
14 Aug 22

Census:
31 Aug 22

Last withdraw without fail:
16 Sep 22

More teaching periods
Hawthorn

HOL Study Period 1
Hawthorn

HOL Study Period 3

Dates:
28 Feb 22 - 29 May 22

Results:
28 Jun 22

Last self enrolment:
13 Mar 22

Census:
21 Mar 22

Last withdraw without fail:
15 Apr 22

Dates:
29 Aug 22 - 27 Nov 22

Results:
23 Dec 22

Last self enrolment:
11 Sep 22

Census:
19 Sep 22

Last withdraw without fail:
14 Oct 22

Swinburne Online

Teaching Period 1
Swinburne Online

Teaching Period 2

Dates:
14 Mar 22 - 12 Jun 22

Results:
5 Jul 22

Last self enrolment:
27 Mar 22

Census:
8 Apr 22

Last withdraw without fail:
29 Apr 22

Dates:
11 Jul 22 - 9 Oct 22

Results:
1 Nov 22

Last self enrolment:
24 Jul 22

Census:
5 Aug 22

Last withdraw without fail:
26 Aug 22


Corequisites

Nil

Aims and objectives

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.


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. Identify and explain the concept of interaction with ANOVA models
6. Interpret results of ANOVA models
7. Write concise reports of analyses

Courses with unit

BA-HSC1 Bachelor of Health Science
BA-HSCPROF Bachelor of Health Science (Professional)
BB-HSCBUS Bachelor of Health Science / Bachelor of Business
BB-HSCMCMN Bachelor of Health Science / Bachelor of Media and Communication
BB-HSCSCI Bachelor of Health Science / Bachelor of Science