Multiple Linear Regression
Date:
17/01/2019
Organised by:
The University of Manchester
Presenter:
Dr Maria Pampaka
Level:
Entry (no or almost no prior knowledge)
Contact:
CMI Short Courses
cmi-shortcourses@manchester.ac.uk
0161 2751980
Description:
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.
The course is designed for users of survey data with some experience of data analysis and who are comfortable using SPSS 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 a 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:
£195 (£140 for those from educational, government and charitable institutions)
Website and registration:
https://www.cmist.manchester.ac.uk/study/short/list/
Region:
North West
Keywords:
Regression Methods, Linear regression, Latent Variable Models, SPSS
Related publications and presentations:
Regression Methods
Linear regression
Latent Variable Models
SPSS