Chapter 2 Simple Linear Regression

Simple Linear Regression (or SLR for short) can be thought of as a type of analysis that builds upon a correlation analysis. In addition to helping us determine the strength, direction, and significance of linear association between two variables, it can also help us to:

  • Interpret the linear relationship between two variables more precisely
  • Estimate a linear model (or 'line of best fit')
  • Use this model to make predictions

We will consider these concepts in the following sections.

These notes have been prepared by Amanda J. Shaker. The copyright for the material in these notes resides with the author named above, with the Department of Mathematics and Statistics and with La Trobe University. Copyright in this work is vested in La Trobe University including all La Trobe University branding and naming. Unless otherwise stated, material within this work is licensed under a Creative Commons Attribution-Non Commercial-Non Derivatives License CC BY-NC-ND