REGRESSION ANALYSIS
STA4RA
2014
Credit points: 15
Subject outline
The main objective of this unit is to provide an introduction to the theory of regression analysis. The topics for this unit include; multiple linear regression; classical estimation and testing; residual analysis; diagnostics; robust regression and modern dimension reduction. This unit considers both theoretical derivations and practical applications through the use of the freely available statistics software package R (see http://www.r-project.org/). Previous knowledge of R is not required.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Luke Prendergast
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: STA3LM and STA3AS
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: STA41RA
Special conditions: N/A
Melbourne, 2014, Semester 1, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Luke Prendergast
Class requirements
Lecture/PracticalWeek: 10 - 22
One 2.0 hours lecture/practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| four assignments | 20 | |
| one 2-hour examination. | 80 |
Melbourne, 2014, Semester 2, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Luke Prendergast
Class requirements
Lecture/PracticalWeek: 31 - 43
One 2.0 hours lecture/practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| four assignments | 20 | |
| one 2-hour examination. | 80 |