Simple Linear Regression: Diagnostic Plots

Given our modeling assumptions for linear regression, we can use diagnostic plots to evaluate if any are violated. In this lecture we introduce Y-X scatterplots, residual scatterplots, residual histograms, and normal probability plots. Examples of violated assumptions are presented at the end.


Table of Contents:

00:00 - Introduction
00:21 - Welcome
00:46 - Linear Regression Assumptions Refresher
02:35 - Types of Diagnostic Plots
05:47 - Y-X Scatterplot
06:18 - Residual Scatterplot
06:48 - Residual Histogram
07:14 - Normal Probability Plot (Q-Q Plot)
07:38 - Violated Assumption Examples
07:45 - Equal Variances Violated
08:16 - Linearity Violated
08:50 - Normality Violated
09:46 - Conclusion