Multiple Linear Regression

Date:

20/10/2015

Organised by:

The University of Manchester/The Cathie Marsh Institute (CMIST)

Presenter:

Maria Pampaka

Level:

Entry (no or almost no prior knowledge)

Contact:

Jackie.Carter@manchester.ac.uk

Map:

View in Google Maps  (M13 9PL)

Venue:

Humanities Bridgeford Street Building

Description:

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.

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

Prerequisites

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.

Recommended Reading

Field, A. (2010) Discovering statistics using SPSS for Windows: London: SAGE Publications.

Cost:

£195 (£140 for those from educational and charitable institutions).

Website and registration:

Region:

North West

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis

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