Week 6
Regression and Correlation
Curve fitting, correlation, linear regression, and predictions.
Learning goals
- What prediction means
- Scatter plots
- Positive and negative correlation
- Best-fit line
- Linear regression basics
- Prediction limits
Suggested classroom flow
| Session | Focus | Output |
|---|---|---|
| Day 1 | Concept introduction and guided examples | Notebook or script |
| Day 2 | Hands-on lab and teacher walkthrough | Working code |
| Day 3 | Practice tasks and discussion | Assignment draft |
| Day 4 | Assessment and mini project | Submission |
Mini project
Sales Predictor
Outcome for the week: students should finish with usable code, a short explanation, and at least one visual or result artifact.
Quick MCQ preview
Q1. Regression usually predicts?
Explanation: Regression predicts continuous values.
Q2. Correlation close to 1 means?
Explanation: A value near 1 suggests strong positive correlation.
Q3. A scatter plot helps visualize?
Explanation: Scatter plots show relationships.