
Key Data Points in Linear Regression Analysis
Learn about high leverage, influential, and outlier points in linear regression, their impact on the regression line, and how they can affect the model's accuracy and interpretation.
Download Presentation

Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Complete the worksheet: 9A: Wandering Point
Chapter 9 High Leverage: - point whose x-value is extreme (outlier in x-var.) - pulls the LSR line close to itself - residuals can be small - can change the slope (doesn't have to)
Influential Point: - drastically changes the slope when removed/added
Outlier: - Any data point that stands away from the others - has a large residual OR has high leverage