Analysis: Regression

  • Saiyidi Mat Roni
  • Margaret Kristin Merga
  • Julia Elizabeth Morris


Regression is used to explain variations in an outcome variable, y, accounted by an explanatory (predictor) variable, x. In other words, how much can one phenomenon be explained by a given variable or a set of variables. Say for example, we hypothesise that access to reading materials (x) can increase reading frequency (y) among young people. Using regression, we can analyse how much variability in reading frequency is “shaped” by the level of access to reading materials.


Simple regression Binomial regression Multinomial regression Residual 

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Saiyidi Mat Roni
    • 1
  • Margaret Kristin Merga
    • 2
  • Julia Elizabeth Morris
    • 3
  1. 1.School of Business and LawEdith Cowan UniversityJoondalupAustralia
  2. 2.School of EducationEdith Cowan UniversityPerthAustralia
  3. 3.School of EducationEdith Cowan UniversityMount LawleyAustralia

Personalised recommendations