sta4lm analyses of linear models
ANALYSES OF LINEAR MODELS
STA4LM
2014
Credit points: 15
Subject outline
Modern research often involves the analysis of data for more than one variable and in this regard, linear models are the most widely used class of models. They relate a reponse variable to one or more explanatory variables enabling researchers to answer important research questions as well as make future predictions. The methods are used in many areas including biological science, economics, engineering, medical science and psychological science. Topics include simple and multiple linear regression, response and explanatory variable transformations, ANOVA and ANCOVA, as well as more modern methodologies such as generalized linear models and linear mixed effects models. This subject has a stong emphasis on preparing students for future careers in statistics. This subject is co-offered with STA3LM although assumes a deeper level of understanding of the subject content.
FacultyFaculty of Science, Tech & Engineering
Credit points15
Subject Co-ordinatorAgus Salim
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites one of STA2ABS or STA2AMS or STA2MD or approval of honours or masters by coursework coordinator
Co-requisitesN/A
Incompatible subjects STA3LM
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
Resource Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | Introduction to Linear Regression Analysis | Recommended | Montgomery, DC, Peck, EA and Vining, G 2006 | WILEY, 4TH EDITION. |
Subject options
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Melbourne, 2014, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAgus Salim
Class requirements
Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
PracticalWeek: 31 - 43
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
Assessment element | Comments | % |
---|---|---|
2 Assignments (approx. 800 words each) | 20 | |
2-hour short answer Final Examination | 50 | |
5-minute oral presentation briefly describing an applied research paper. | 5 | |
5-minute oral presentation of a current job ad | Hurdle Spreaking Preparation/Practice. | 0 |
Consulting role-play | 25 |