BIvariate Data

Topic/AOS Overview

Investigating relationships between two numerical variables

This topic includes:

• response and explanatory variables

• scatterplots and their use in identifying and qualitatively describing the association between two numerical variables in terms of direction, form and strength

• the Pearson correlation coefficient r, calculation and interpretation, and correlation and causation

• use of the least squares line to model an observed linear association and the interpretation of its intercept and slope in the context of the data

• use of the model to make predictions and identify limitations of extrapolation

Assessment Tasks Overview

Bivariate Data SAC

Learning Goals/Success Criteria

Chapter 7 Bivariate Data

Chapter 14 Bivariate Data (Jac text)

Other Activities/Excursions