Lecture 20: Regression (part 2)
April 8, 2026Simple linear regression
Regression is one of the most important statistical frameworks. Although it may not be immediately apparent in BIOL322, regression shares the same foundation as ANOVA but focuses on relationships between two continuous variables. Regressions enable biologists to address a wide range of questions.
In this second lecture on regression, we will explore inferences related to regression models, including confidence bands for regression lines, prediction intervals for single observations, and statistical hypothesis testing. We will introduce diagnostic tools to evaluate whether a regression model can be trusted for prediction. Additionally, we will discuss the assumptions underlying regression models and the importance of proper sampling when using regression analysis.
Lecture
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