📘 Chapter 11: Regression and Correlation

🎮 Interactive Apps (HTML/JS)

• 11.1 – Empirical Model Intro
• 11.2 – 11.6 Simple Linear Regression
• 11.3 – Least Squares Properties
• 11.7 – Residual Plot & R²
• 11.8 – Correlation & Inference
• 11.9 – Transformed Variables
• 11.10 – Logistic Regression Model

📽️ PPT Slides

• Download Chapter 11 Slides (ch11.pptx)

📝 Quiz

Coming soon! Quiz on regression slope, residuals, R², and logit model interpretation.

📚 Homework

Coming soon! Regression and correlation problem sets with step-by-step solutions.

💬 Excel

📢 Student Q&A

• Q: What does the slope β₁ mean?
  A: It represents the expected change in Y for a one-unit increase in X.
• Q: What is R²?
  A: It is the proportion of variance in Y explained by the model (a goodness-of-fit measure).
• Q: When should I transform X or Y?
  A: When residual plots show curvature or non-constant variance. Try log(X), sqrt(Y), etc.
• Q: What is logistic regression used for?
  A: It models binary outcomes (e.g., success/failure) using probabilities and log-odds.
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