HL Coefficient of determination (R²)

This topic follows on from    Pearson's (r) Limitations and   SL Spearman's Rank. To choose between competing mathematical models we need some measurement of their success in predicting the observed data. 

The Sum of squared residuals, with its direct measure of a model's variance from the mean, evolves into the coefficient of determination (R²), which gives us an indicator of the degree of the variation in the data predicted by the model.

Teaching slides 

Please find below some slides to help present and teach these ideas to students. You can click on each image to make it fill the screen and then click through them. You might also consider presentation mode when using these slides.


All materials on this website are for the exclusive use of teachers and students at subscribing schools for the period of their subscription. Any unauthorised copying or posting of materials on other websites is an infringement of our copyright and could result in your account being blocked and legal action being taken against you.