Multiple Linear Regression
|Dates:||11 February 2020|
|What is it:||Short course|
|Organiser:||Cathie Marsh Institute for Social Research|
/ Five subsidised £60 places available for Humanities staff and postgraduates|
|Who is it for:||University staff, External researchers, Alumni, Current University students|
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.
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.
Offers: Five subsidised £60 places available for Humanities staff and postgraduates
Travel and Contact Information
Humanities Bridgeford Street