Multiple Linear Regression
Date:
28/03/2019
Organised by:
Cathie Marsh Institute - University of Manchester
Presenter:
TBC
Level:
Entry (no or almost no prior knowledge)
Contact:
Grace Bishop
Description:
Outline
This course provides a thorough grounding in the theory and methods of multiple linear regression including model selection, nonlinear relationships, and transformations, dummy variables, interaction terms and assumption testing. The course comprises taught and practical components in about equal proportions, using the STATA software.
The course is designed for users of survey data with some experience of data analysis and who are comfortable using statistical software and who want to expand their understanding of more sophisticated techniques.
Objectives
At the end of the course participants should be able to:
- Run multiple linear regression models on suitable datasets
- Choose between different models
- Understand the meaning of b and beta coefficients
- Understand and Interpret R2 values
- Create dummy variables, interaction and quadratic terms
- Run and interpret assumptions tests and diagnostics
- Understand and interpret multicollinearity.
Cost:
£60 - only Humanities department staff/students at University of Manchester
£140 - those from educational, government and charitable institutions
£195 - full fee
Website and registration:
https://www.cmist.manchester.ac.uk/study/short/list/
Region:
North West
Keywords:
Quantitative Data Handling and Data Analysis, ICT and Software, Research Skills, Communication and Dissemination
Related publications and presentations:
Quantitative Data Handling and Data Analysis
ICT and Software
Research Skills, Communication and Dissemination