units

ETF3600

Faculty of Business and Economics

print version

This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Coordinator(s)

Dr Vasilis Sarafidis

Offered

Caulfield

  • First semester 2016 (Day)

Synopsis

The topics covered in this unit include: review of regression analysis, binomial dependent variables, unordered multinomial dependent variables, ordered multinomial dependent variables, duration dependent variables. Computer software EVIEWS will be used to apply these techniques to real world problems.

Outcomes

The learning goals associated with this unit are to:

  1. provide a solid understanding of regression analysis including relationships with dependent variables that can be binary, in unordered categories, in ordered categories and duration variables
  2. analyse these relationships using a software package
  3. analyse, interpret and communicate the business value of results.

Assessment

Within semester assessment: 35%
Examination: 65%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information

Chief examiner(s)

Prerequisites

Students must have passed ETF2100 or ETC2410 or must be enrolled in Course Code 3822 or 4412