Professional course

Regression Modelling

About this course

Course code:
Professional/Short Course
Engineering Design and Mathematics
One day
Course director:
Dr Paul White, +44 (0)117 32 83145

Page last updated 15 March 2019


We offer one-day courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.

Any course materials, including pre-reading, refreshments and lunch are included in the fee.

Entry requirements

We would expect you to have completed the courses 'Introduction to SPSS' and 'Introduction to Inference' or to be familiar with SPSS and have an understanding of statistical inference.

Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.



This one-day course will provide hands-on experience of using regression modelling in SPSS.  The start of the course will be devoted to modelling a quantitative outcome with respect to a variety of different types of independent variables (factors, covariates, interactions) and different types of model selection procedures as well as considering the statistical validity of regression models. The course will then progress on to modelling binary outcome variables using the very popular approach known as logistic regression.  This course is ideally suited to any researcher working with multiple variables which may be related to a dependent variable. SPSS will be used throughout the day with tutor lead examples to explain concepts. This is a practical hands-on course avoiding a mathematical exposition. 

Study time

This course will run from 10.00 - 16.00 on Tuesday 11 June 2019


This is a non-credit bearing course and no assessment will be undertaken. You will receive a Certificate of Attendance on completion of the course.

Prices and dates

Supplementary fee information

Please see the table below for current fees and discounts available. All prices are VAT exempt.

Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

CohortFull FeeEarly Bird DiscountUWE Alumni/Student DiscountUWE Staff Discount
June 2019£240£216£204£120
Payment Deadline 16 April 201928 May 201928 May 2019

(Fees include car parking, lunch and refreshments)

Course Dates


June 2019

Session 1


Tuesday 11 June 2019


10.00 - 16.00

How to apply

How to apply

To make a full or provisional booking for this course, please complete the relevant online booking form below:

June 2019Book NowEnquire Now


For further information

  • Email: For all queries regarding administration aspects of registration, i.e. dates, fees, etc. please contact us using the online enquiry form link. For any questions in relation to the course, i.e. content, suitability, assessments, etc. please contact the Programme Leader directly.
  • Telephone: +44 (0)117 32 86927

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