The University of Southampton
Courses

STAT6095 Regression Modelling

Module Overview

This module will provide an overview of statistical methods for linear and logistic regression.

Aims and Objectives

Module Aims

To provide an overview of statistical methods for linear and logistic regression.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • On successful completion of this module you will understand and be able to apply the different techniques involved in fitting regression models.
  • On successful completion of this module you will be able to apply regression methods to typical data sets arising in official statistics.
  • On successful completion of this module you will be able to use a statistical computing package to apply the different regression analysis techniques and understand and interpret the outputs.
  • On successful completion of this module you will be able to carry out an in-depth analysis of a dataset and undertake good statistical reporting.

Syllabus

Revision of sample theory and matrix algebra Linear regression covering; • Basic (ordinary least squares) regression model • Residual analysis • Model building and selection for multiple regression model • Assessing model fit • Handling categorical variables, outliers, interactions, transformations • Spline regression, polynomial regression, Weighted Least Squares Introduction to logistic regression covering; • Basic model • Interpreting the parameters • Assessing model fit • Model building and selection

Special Features

This module is run as a week-long short course, a component of the MSc Official Statistics

Learning and Teaching

TypeHours
Independent Study72
Teaching28
Total study time100

Resources & Reading list

Draper, N R. and Smith, H. (1998). Applied Regression Analysis. 

Weisberg, S. (1995). Applied Linear Regression. 

Hosmer, W. H. and Lemeshow, S. (2000). Applied Logistic Regression. 

Laboratory space and equipment required. Computing Lab in SPSS.

Assessment

Summative

MethodPercentage contribution
Coursework assignment(s) 100%

Referral

MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Approved Calculators

Candidates may use calculators in the examination room only as specified by the University and as permitted by the rubric of individual examination papers. The University approved model is Casio FX-570 This may be purchased from any source and no longer needs to carry the University logo.

Stationery

You will be expected to provide your own day-to-day stationery items, e.g. pens, pencils, notebooks, etc.

Textbooks

Where a module specifies core texts these should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. Some modules suggest reading texts as optional background reading. The library may hold copies of such texts, or alternatively you may wish to purchase your own copies. Although not essential reading, you may benefit from the additional reading materials for the module.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

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