Introduction to Linear and Logistic Regression

Two-day Workshop

In this workshop we will explore the foundation for linear and logistic regression. Workshop participants will be introduced to these statistical concepts using one of three popular statistical software packages: SPSS, Stata, and R.

This workshop is intended for non-statisticians wishing to develop a solid foundation in the use of these techniques. A basic knowledge of statistics is assumed, but participants need not have a prior knowledge of linear or logistic regression.

Workshop Contents

The workshop will cover:

  • the basics of statistics (including concepts such as p-values and the role of statistical tests)

  • the fundamental equations for linear and logistic regression

  • the assumptions that need to be checked when performing regression (linearity, normality, constant variance, no outliers)

  • multiple regression and the effect of confounders

  • variable selection (choosing which variables to select for a linear regression model)

  • the differences between linear and logistic regression

  • interpreting the regression coefficients for logistic regression

  • nominal and ordinal regression

  • Poisson regression (for count variables)

Teaching Style

This workshop uses a combination of two teaching styles:

  • Lectures and classroom discussions

  • Computer exercises

During the lecture sessions the theory of statistics will be presented, and will be discussed in an interactive manner with the class.

Computer Exercises

Each workshop will involve the use of laptop computers. For these sessions participants will be asked to bring their own laptops and will be able to choose which statistical software they would like to use during the workshop. For this workshop, participants will be able to choose which package (R, SPSS, or Stata) they would like to use during individual hands-on exercises throughout the workshop.

Please note that a copy of R will be given to all participants at the start of the workshop, if participants would like to use one of the other software packages then it will be the responsibility of the participant to ensure that they have that software package available on their laptop.

Program Format

The workshop will adhere to the following format. Please note that both teas and lunch are catered on both days, so please be sure to include dietary requirements on your registration form.

Day 1

8:30 - 9:00          Registration
9:00 - 10:30        Lecture 1
10:30 - 11:00      Morning Tea
11:00 - 12:30      Practical 1
12:30 - 1:30        Lunch
1:30 - 3:00          Lecture 2
3:00 - 3:30          Afternoon Tea
3:30 - 5:00          Practical 2

Day 2

9:00 - 10:30        Lecture 3
10:30 - 11:00      Morning Tea
11:00 - 12:30      Practical 3
12:30 - 1:30        Lunch
1:30 - 3:00          Lecture 4
3:00 - 3:30          Afternoon Tea
3:30 - 5:00          Practical 4


Mark Griffin.jpg

Dr Mark Griffin is the Founding Director of Insight Research Services Associated (, and holds academic appointments at the University of Queensland and the University of Sydney. Mark is the Chair of the IIBA Business Analytics Special Interest Group and the IIBA Asia-Pacific Regional Director. Mark also serves on the Executive Committee for the Statistical Society of Australia, and is the Chair of their Section for Business Analytics. Mark has previously taught over 80 two-day workshops and 10 five-day workshops in the fields of Business Analytics and Statistics. Major analytics projects that Mark is or has been involved in include:

  • Mark leads a research group at the University of Queensland conducting analysis of incident reports collated by the Queensland Ambulance Service. The QAS visits approximately 700,000 incidents per year where QAS staff complete a report detailing each incident. This project uses R for text analytics, market segmentation, and spatial mapping (GIS) (2017 to present).

  • Mark is leading a research group at the University of Queensland that are creating an online sample size calculator in R. This software will be used by managers of medical trials who wish to know how many patients to enrol in their trials. This work is being conducted in partnership with research collaborators at Harvard University. This project uses R for developing a web interface and for the mathematical equations involved (2017 to present).

  • Mark has developed software in R for SeqWater (where SeqWater monitors the water quality of all 28 water reservoirs in South-East Queensland). This project uses R for developing a web interface and for statistical analysis using time-series data (2017).

  • Mark led a project team evaluating the delivery of the Positive Parenting Program for the Queensland Department of Communities, Child Safety and Disability Services. This included the collection and analysis of data from 140,000 parents and 1000 practitioners (psychologists) involved in the program. This project used R for statistical analysis and data visualization (2016-2017)