ANALYSES OF LINEAR MODELS

STA3LM

2019

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. Linear models relate a response variable to one or more explanatory variables enabling researchers to answer important research questions and make predictions about how variables will respond. These methods are used in many areas including biological science, economics, engineering, medical science and psychological science. Topics covered in this subject 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 strong emphasis on preparing students for future careers in statistics. This subject addresses La Trobe's Innovation and Entrepreneurship Essential which entails developing the ability to tackle problems creatively, generating new ideas, taking calculated risks and creating change to achieve ambitions now and in the future.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorAmanda Shaker

Subject year levelYear Level 3 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Must pass one of the following: STA2ASM, STA2ABS, STA2AMS, STA2MD, STM2PM

Co-requisitesN/A

Incompatible subjects STA4LM

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsIntroduction to Linear Regression AnalysisRecommendedMontgomery, DC, Peck, EA and Vining, G 2006WILEY, 4TH EDITION.

Graduate capabilities & intended learning outcomes

01. Present clear, well-structured proofs of important fundamental linear model results that include appropriate use of statistical and mathematical vocabulary and notation.

Activities:
Weekly problem classes involve theoretical derivations of results introduced in lectures. 2 assignments consist of up to 50% assessed theoretical derivations.
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

02. Describe and use key analytical linear modelling tools including justification of appropriate usage based on known model/data conditions.

Activities:
Appropriate usage of methodologies is discussed and modelled via example in lectures. Weekly computer lab classes involve interpreting, including a justification of, computer output relating to analyses of real data sets. 2 assignments consist of up to 50% assessed usage and justification of methodolgies.
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

03. Implement and document various strategies to identify and account for model inadequacies.

Activities:
Lectures in week 3 onwards introduce students to ways in which model conditions can be critiqued and to the manner in which inadequacies can be corrected. Computer lab classes from week 3 onwards and assignments 2 and 3 require students to defend the use of methodolgies by implenting model checking as well as requiring the correction of inadequacies when necessary.
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)

04. Present written and oral commuications of statistical results clearly in a manner that can be understood by experts and lay audience.

Activities:
Simple written summaries based on real data analyses are modelled weekly in lectures. Weekly computer lab classes in part involve students writing simple evidence based conclusions. 3 assignments also partly require students to prepare such simple conclusions. 25% of the total assessment is allocated to a consulting role-roleplay which requires students to work in teams to produce a statistical analysis based on real data. Thie role-play culminates in each student individually verbally communicate results of the analysis to the lecturer where the lecturer acts as a scientist with little statistics background.
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

05. Work efficiently and effectively as a member of a team to produce a statistcal analysis based on real data.

Activities:
25% of the total assessment is allocated to a consulting role-roleplay which requires students to work in teams to produce a statistical analysis based on real data.
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy,Cultural Literacy)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Personal and Professional Skills(Teamwork including leadership and working in groups,Autonomy and independence,Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2019, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAmanda Shaker

Class requirements

PracticalWeek: 32 - 43
One 1.0 hours practical per week on weekdays during the day from week 32 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.

Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.