timestamps

• 0:00

  Introduction to Bivariate Data

• 0:31

  Key Measures: s and R-Squared

• 1:01

  Describing Scatter Plots

• 2:03

  Regression Line Equation

• 3:04

  Intercept and Slope Interpretation

• 3:34

  Understanding Residuals

• 4:36

  Grocery Store Example Scenario

• 5:07

  Interpreting Slope and Intercept

• 6:10

  Slope in Context

• 7:11

  Identifying Outliers

• 8:14

  Calculator for R-Squared

• 10:20

  Least Squares Regression

• 11:25

  Minimizing Squared Residuals

• 13:30

  Scatter Plot Demo

• 15:05

  Interpreting s Value

• 16:06

  s Interpretation Template

• 18:11

  Introducing R-Squared

• 19:15

  Coefficient of Determination

• 20:17

  R-Squared Template

• 21:19

  Variation Explained by Model

• 23:23

  Sample R-Squared Response

• 24:24

  Reading Computer Outputs

• 25:28

  Slope and Intercept in Output

• 27:33

  Another Output Example

• 28:35

  Jenny's Treadmill Scenario

• 29:06

  Writing Regression Equation

• 30:08

  Making Predictions

• 31:13

  Interpreting s in Context

• 33:19

  Review and Practice Questions

• 34:50

  Identifying Slope in Output

• 36:27

  Predicted vs Actual Values

• 37:28

  Dangers of Extrapolation

• 39:00

  Common AP Questions

• 40:35

  Leverage and Influence

• 42:39

  Influential Points Examples

• 44:46

  Describing Associations

• 45:50

  Fiveable Updates and Closing