The University of Southampton
Courses

# STAT3004 Applied Regression Analysis

## Module Overview

This module will introduce a number of common methods for analysing survey data, focusing on regression analysis. The module will cover in depth linear and logistic regression analyses, before introducing further regression techniques such as ordinal and multinomial logistic regression. Pre-requisite: STAT2009. Any equivalent modules can be accepted with permission from the Programme coordinator

### Aims and Objectives

#### Learning Outcomes

##### Learning Outcomes

Having successfully completed this module you will be able to:

• Demonstrate knowledge of the basic ideas behind regression analysis using data with more than one explanatory variable.
• Develop understanding of two common regression analysis techniques (linear regression analysis and logistic regression analysis) as well as an appreciation of the need for further regression techniques relating to the type of data
• Analyse real data by applying these techniques using SPSS and interpret the resulting output
• Write short statistical reports based on these analyses

### Syllabus

The module is split into three parts: Part 1: Linear regression: simple linear regression, least squares estimation, interpreting regression coefficients, checking the regression assumptions, hypothesis testing, confidence intervals, multiple linear regression, model selection, handling of categorical explanatory variables, interactions, variable transformations. Part 2: Logistic regression: modelling dichotomous outcome variables, probabilities and odds, the logistic regression model, how good is the model, model interpretation, model selection, diagnostic methods, grouped data. Part 3: Further regression analysis: further regression methods will be introduced, including ordinal and multinomial regression methods.

### Learning and Teaching

#### Teaching and learning methods

.

TypeHours
Teaching30
Independent Study120
Total study time150

### Assessment

#### Summative

MethodPercentage contribution
Coursework 50%
Exam  (2 hours) 50%

#### Referral

MethodPercentage contribution
Coursework assignment(s) 50%
Exam 50%

#### Repeat Information

Repeat type: Internal & External