Regression as a sequence of extensions
Linear regression represents a conditional mean using predictors and their interactions. We then consider uncertainty, residuals, and model checks.
Available Wednesday, October 7, 2026.
Linear regression represents a conditional mean using predictors and their interactions. We then consider uncertainty, residuals, and model checks.
Available Wednesday, October 7, 2026.
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title: "Regression as a sequence of extensions"
toc: false
course-release-id: linear-regression
course-release-placeholder: true
---
Linear regression represents a conditional mean using predictors and their interactions. We then consider uncertainty, residuals, and model checks.
**Available Wednesday, October 7, 2026.**