| A) Bivariate Variables | |
|---|---|
| 1) Identifying Explanatory and Response Variables | Ex 1 Ex 2 Ex 3 Ex 4 |
| B) Scatter Plots | |
| 2) Matching Data Tables to Scatter Plots | Ex 5 Ex 6 Ex 7 |
| 3) Plotting Scatter Plots | Ex 8 Ex 9 Ex 10 |
| C) Correlation | |
| 4) Identifying the Direction of a Correlation | Ex 11 Ex 12 Ex 13 Ex 14 |
| 5) Identifying the Strength of a Correlation | Ex 15 Ex 16 Ex 17 Ex 18 |
| 6) Identifying the Form of a Correlation | Ex 19 Ex 20 Ex 21 Ex 22 |
| 7) Interpreting Outliers in Context | Ex 23 Ex 24 Ex 25 |
| 8) Interpreting Trends in Scatter Plots | Ex 26 Ex 27 Ex 28 Ex 29 |
| D) Correlation vs. Causation | |
| 9) Distinguishing Between Correlation and Causation | Ex 30 Ex 31 Ex 32 |
| 10) Distinguishing between Correlation and Causation | Ex 33 Ex 34 Ex 35 |
| E) Measuring Linear Correlation | |
| 11) Estimating the Correlation Coefficient | Ex 36 Ex 37 Ex 38 Ex 39 |
| 12) Applying Correlation Analysis to Real-World Data | Ex 40 Ex 41 Ex 42 |
| F) Linear Regression | |
| 13) Estimating the Line of Best Fit by Eye | Ex 43 Ex 44 Ex 45 Ex 46 |
| 14) Evaluating the Appropriateness of a Linear Model | Ex 47 Ex 48 Ex 49 Ex 50 |
| 15) Estimating Values Graphically | Ex 51 Ex 52 Ex 53 |
| 16) Estimating Values with Linear Equations | Ex 54 Ex 55 Ex 56 Ex 57 |
| 17) Applying Linear Regression Models | Ex 58 Ex 59 Ex 60 |