IB Maths AI HL 4.13 – Regression Analysis Notes

IB Maths AI HL 4.13 Notes – Regression Analysis

This IB Maths AI HL 4.13 resource covers Non-Linear Regression Analysis and is fully aligned with the IB Applications and Interpretation HL syllabus

Students learn how to model relationships using non-linear regression (including exponential, power, sine, and quadratic models), use technology to determine least-squares regression parameters, and interpret the sum of squared residuals (SSR) as a measure of model fit. The coefficient of determination ( R^2 ) is developed as a way to evaluate how well a model explains variation in the response variable.

Structured practice questions guide students in comparing quadratic and exponential models, interpreting parameters, and using technology to make predictions.

Ideal for IB Maths AI HL teachers teaching regression modelling, interpretation, and technology-based evaluation of statistical models.