Learn the fundamentals of simple linear regression in this comprehensive tutorial series. Explore key concepts including the least squares regression line, interpreting model parameters, and understanding assumptions. Dive into practical applications with examples of inference on slope, residual plot analysis, and data transformations. Master techniques for creating intervals for mean and single responses, and gain insights into leverage and influential points. Emphasize the importance of data visualization throughout the regression process, ensuring a thorough understanding of this essential statistical method.
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
