Multiple Linear Regression
Date:
11/02/2020
Organised by:
Cathie Marsh Institute
Presenter:
Dr Maria Pampaka
Level:
Intermediate (some prior knowledge)
Contact:
Laura Swift
0161 275 1980
cmi-shortcourses@manchester.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
Humanities Bridgeford Street
University of Manchester
Oxford Road
Manchester
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.
Prerequisites
Participants should have a basic familiarity with statistical software. They should also have an understanding of basic data analysis techniques and concepts such as cross-tabulations, graphing, variance, significance testing and correlation. An understanding of simple linear regression would be helpful but not essential as this will be covered at the beginning of the course.
Cost:
£195/£140/£60
Website and registration:
https://www.cmi.manchester.ac.uk/study/short/introductory/multiple-linear-regression/
Region:
North West
Keywords:
Linear regression, Cluster analysis
Related publications and presentations:
Linear regression
Cluster analysis