Linear Statistical Models

Unit code: RCM2611 | Study level: Undergraduate
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Footscray Park
NEM1002 - Statistics for Decision Making
(Or equivalent to be determined by unit coordinator)
Overview
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Overview

In this unit, Linear Statistical Models, students are introduced to simple and multiple linear regression models, general linear models with categorical data, - simple experimental designs and simple logistic regression models for binary response. Students will learn how to build, diagnose and validate linear statistical models. Statistical software package from Excel will be used to practise the techniques covered in this unit. This is a unit that will allow students to undertake a qualification to become a registered teacher.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Apply key probability concepts to linear models in statistical analysis;
  2. Create general linear regression models that produce binary responses;
  3. Assess and diagnose general linear regression models by various numerical and graphical tools; and
  4. Design simple experimental statistical models that predict outcomes.

Assessment

For Melbourne campuses

Assessment type: Test
|
Grade: 20%
Test (1hr)
Assessment type: Assignment
|
Grade: 25%
Data analysis report (10 pages including graphs)
Assessment type: Test
|
Grade: 55%
Tests x 2 (1hr each)

Required reading

Reading materials for this unit will be made available via VU Collaborate.

As part of a course

This unit is not compulsory for any specific course. Depending on the course you study, this unit may be taken as an elective.

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