This course on Simple Linear Regression aims to teach students the fundamentals of simple linear regression, including interpreting model parameters, checking assumptions, and conducting inference on the slope. Students will learn how to plot data, handle transformations, and understand intervals in simple linear regression. The teaching method involves theoretical explanations, practical examples, and the use of residual plots to check assumptions. This course is intended for individuals interested in learning about basic regression analysis and its applications.
Overview
Syllabus
Introduction to Simple Linear Regression.
Simple Linear Regression: The Least Squares Regression Line.
Simple Linear Regression: Interpreting Model Parameters.
Simple Linear Regression: Assumptions.
Simple Linear Regression: Checking Assumptions with Residual Plots.
Inference on the Slope (The Formulas).
Inference on the Slope (An Example).
Simple Linear Regression: An Example.
Simple Linear Regression: Always Plot Your Data!.
Simple Linear Regression: Transformations.
Intervals (for the Mean Response and a Single Response) in Simple Linear Regression.
Leverage and Influential Points in Simple Linear Regression.
Taught by
jbstatistics
