Analysis of Variance and Regression
UndergraduateSWI-STA200062023
Course information for 2023 intake
Line up and calculate statistical modelling for a range of research designs. Examine how analysis of variance (ANOVA) and multiple regression methods are used to assess experimental and observational research data. Interpret results and write reports.
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
- Loan available
- HECS-HELP and FEE-HELP available
Analysis of Variance and Regression
About this subject
Students who successfully complete this subject will be able to:
- Apply and analyse data using multiple regression model;
- Interpret the results of multiple regression;
- Identify and explain the concepts of mediation and interaction (moderation) within multiple regression models;
- Apply and analyse data using Analysis of Variance (ANOVA) models;
- Identify and explain the concept of interaction with ANOVA models;
- Interpret results of ANOVA models;
- Write concise reports of analyses.
- 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
This subject 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.
As the subject builds on the skills developed in STA10003 Foundations of Statistics, this prerequisite is strictly enforced.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignment (40%)
- Final Assessment (TBC) (40%)
- Test — Online topic tests (20%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
SWI-STA10003-Foundations of Statistics (no longer available)
SWI-STA102 (Not currently available)
Equivalent subjects
You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
SWI-STA210 (Not currently available)
Additional requirements
- Other requirements -
Access to the SPSS standard statistical software v24. Earlier versions of SPSS (from version 20 onwards) are acceptable. Please note: the "Base" Grad Pack is not sufficient to complete this unit.versions of SPSS (from version 20 onwards) are acceptable. Please note: the "Base" Grad Pack is not sufficient to complete this unit.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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