IB Math AI Worksheet SL 4.4 - Correlation & Regression

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 builds conceptual clarity around scatter plots and correlation, focusing on how Pearson’s correlation coefficient measures the strength and direction of a linear relationship and why correlation does not imply causation .

Students use technology to calculate Pearson’s ® and Spearman’s rank correlation (r_s), comparing linear and monotonic relationships and interpreting results in context. The resource then extends to least-squares linear regression, guiding students in interpreting the gradient and intercept of a regression line and using models for prediction while distinguishing between interpolation and extrapolation .

Structured tasks combine calculation, graph interpretation, ranking methods, and modelling questions, reinforcing both conceptual understanding and IB-required technology skills. With scaffolded exercises, real data contexts, and a full answer key, this resource supports SL-level classroom instruction and independent study while strengthening students’ ability to analyse bivariate data in line with IB Mathematics AI expectations .