Unit 3: Analyzing Two-Variable Data
Duration of Days: 20
The definition of correlation (r) and why it doesn’t imply causation.
The meaning of the coefficient of determination (r^2) as the percentage of variation explained by the model.
Construct scatterplots and calculate the Least-Squares Regression Line (LSRL).
Interpret the slope, y-intercept, and residuals in the context of real-world data.
HS.MA.5B - 5B. Summarize, represent, and interpret data on two categorical and quantitative variables.
HS.MA.5C - 5C. Interpret linear models and apply principles of regression to make predictions in the context of data.
| Lesson # | Lesson Title | Duration of Days |
|---|---|---|
| 1 | 3.1 Relationships Between Two Categorical Values | 2 |
| 2 | 3.2 Relationships Between Two Quantitative Variables | 2 |
| 3 | 3.3 Correlation | 3 |
| 4 | 3.4 More About Correlation | 2 |
| 5 | 3.5 Regression Lines | 3 |
| 6 | 3.6 The Least-Squares Regression Line | 3 |
| 7 | 3.7 Assessing a Regression Model | 3 |
| 8 | Review and Assessment | 2 |