Regression and Relationship Plots

Understanding relationships between variables is core to data analysis. Let's explore how to visualize these relationships effectively.

Linear Regression Plots

Confidence Intervals

Polynomial Regression

Multiple Regression Lines

Residual Plots

Correlation Matrix Visualization

Practice: Regression Analysis

Key Takeaways

• Linear regression visualizes the relationship between variables
• Confidence intervals show uncertainty in the regression line
• Polynomial regression handles non-linear relationships
• Residual plots help diagnose model fit quality
• Group-specific regression reveals different relationships
• Correlation matrices summarize pairwise relationships
• R² measures how well the line fits the data

In the next module, we'll explore heatmaps and correlation visualization.