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.

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