Key Takeaways
Lesson Description
Key Takeaways
• Scatterplots reveal relationships between two quantitative variables.
• Correlation measures the direction and strength of a linear relationship.
• Correlation does not imply causation.
• Least-squares regression predicts one variable from another.
• Residuals measure prediction error.
Must Know Equations
Least-Squares Regression Line:
ŷ = a + bx
Residual:
Observed − Predicted
Coefficient of Determination:
r²
Must Know Vocabulary
Scatterplot
Correlation
Regression
Residual
Outlier
Influential Point
Coefficient of Determination (r²)
AP Exam Focus
• Interpret correlation and regression output.
• Explain residual plots.
• Distinguish association from causation.