Key Takeaways
Lesson Description
Key Takeaways
• Linear regression models relationships between quantitative variables.
• Confidence intervals estimate the true population slope.
• Hypothesis tests determine whether a linear relationship exists.
• Residuals measure prediction errors.
• Regression inference assumes linearity, independence, normality, and equal variance.
Must Know Equations
Regression Line:
ŷ = a + bx
Residual:
Observed − Predicted
Slope Test Statistic:
t = (b−0)/SE
Must Know Vocabulary
Regression
Slope
Intercept
Residual
Least-Squares Line
Correlation
Inference
AP Exam Focus
• Interpret regression output.
• Test whether the population slope differs from zero.
• Explain confidence intervals for slopes.