Matthew's class delved into inference for linear regression. In this course, he learned how to analyze and make predictions about the relationship between variables using linear regression models. The curriculum covered topics such as estimating regression coefficients, assessing model fit, and conducting hypothesis tests related to regression parameters. Matthew gained skills in understanding the uncertainty and variability associated with regression predictions, enabling him to draw meaningful inferences about the relationships between variables in real-world scenarios.