Unit

School Of Computing, Engineering And Mathematics

Regression Analysis & Experimental DesignWestern Sydney University Unit Code: 200037.4

Discipline: STATISTICS

Student Contribution Band: 2

Level: 3

Credit Points: 10

Co ordinator
Glenn Stone


Prerequisite
200033 Applied Statistics OR 200052 Introduction to Economic Methods

Unit Enrolment Restrictions
Essential Equipment: Scientific calculator and access to a computer with appropriate software.


Teaching Periods
Nothing on offer.

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About this Unit
From 2016 this unit has been replaced by 301034 Predictive Modelling. This unit covers regression analysis and experimental design. The regression section of the unit develops the theory and application of one of the most commonly used statistical tools: regression analysis. Topics covered include simple linear regression, multiple regression, and model diagnostics and selection. The experimental design section deals with completely randomized design, randomized block design, Latin square design, and factorial experiment models. Such design models are useful for applications in engineering and physical sciences and in the business and behavioural disciplines.


Courses
2739.2Bachelor of Business and CommerceCONTINUING
2739.5Bachelor of Business and CommerceCONTINUING
2743.4Bachelor of Science/Bachelor of LawsCONTINUING
2743.5Bachelor of Science/Bachelor of LawsCONTINUING
3633.2Bachelor of ComputingCONTINUING
3638.4Bachelor of Science - Pathway to Teaching (Secondary)CONTINUING
3638.5Bachelor of Science - Pathway to Teaching (Secondary)CONTINUING
3638.6Bachelor of Science - Pathway to Teaching (Secondary)CONTINUING
3639.1Bachelor of Information and Communications TechnologyCONTINUING
3639.3Bachelor of Information and Communications TechnologyCONTINUING
3687.1Bachelor of Information SystemsCONTINUING


Specialisations

KP3008.1Bachelor of Science (Mathematical Science)/Bachelor of Business and CommerceCONTINUING
KP3009.1Bachelor of Science (No Key Program)/Bachelor of Business and CommerceCONTINUING
KT2006.1Financial MathematicsCONTINUING
M2016.1Applied MathematicsCONTINUING
M3022.1StatisticsCONTINUING
M3024.1Knowledge Discovery and Data MiningCONTINUING
SM3026.1StatisticsCONTINUING
SM3039.1StatisticsCONTINUING




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