IN THE mid-1990s, an algorithm trained on hospital admission data made a surprising prediction. It said that people who presented with pneumonia were more likely to survive if they also had asthma.

This lesson introduces students to the relationship between two quantitative variables through correlation and linear regression. Students learn to construct and interpret scatter plots, calculate the ...

Once the ranks for the two variables are found, we apply the formula for the correlation to the ranks as follows: Both Spearman’s rank and Pearson’s correlation tests share the purpose of assessing ...

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This IB Math AI SL 4.4 – Correlation & Regression resource develops students’ understanding of how relationships between two variables are analysed, interpreted, and used for prediction. The lesson ...