Multiple Linear Regression
Dates: 25th April 2012
Duration: 1 day (10am — 4:30pm)
Level: Intermediate
Course Fee: £175 (£125 for those from educational institutions)
CCSR offers 5 free places to research staff and students within the Faculty of Humanities at the University of Manchester and the North West Doctoral Training Centre.
Course Leader:
Dr Maria Pampaka
Course Requirements: Participants should have a basic familiarity with SPSS. They should also have an understanding of basic data analytical 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.
Course Summary
This course provides a thorough grounding in the theory and methods of multiple linear regression including: model selection, non linear relationships, dummy variables, interaction terms and assumption testing. The course comprises taught and practical components in about equal proportions.
Course 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
Target Audience
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.
Preliminary Reading
- Field, A. (2010) Discovering statistics using SPSS for Windows: London: SAGE Publications.