Exploring bivariate numerical data | AP Statistics | Khan Academy
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What you'll learn
- Design databases with normalized table structures
- Implement user authentication using session tokens
- Write automated unit tests for JavaScript functions
- Deploy static websites to cloud hosting platforms
This course includes
- 1.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 16 lessons • 1.5 hours of video
Exploring bivariate numerical data | AP Statistics | Khan Academy
16 lessons
• 1.5 hours
Exploring bivariate numerical data | AP Statistics | Khan Academy
16 lessons
• 1.5 hours
- Example: Correlation coefficient intuition | Mathematics I | High School Math | Khan Academy 07:20
- Studying, shoe size, and test scores scatter plots | Probability and Statistics | Khan Academy 02:26
- Constructing a scatter plot | Regression | Probability and Statistics | Khan Academy 02:31
- R-squared or coefficient of determination | Regression | Probability and Statistics | Khan Academy 12:41
- Bivariate relationship linearity, strength and direction | AP Statistics | Khan Academy 08:12
- Calculating correlation coefficient r | AP Statistics | Khan Academy 12:22
- Calculating residual example | Exploring bivariate numerical data | AP Statistics | Khan Academy 04:51
- Calculating the equation of a regression line | AP Statistics | Khan Academy 08:11
- Interpreting slope of regression line | AP Statistics | Khan Academy 02:57
- Interpreting y-intercept in regression model | AP Statistics | Khan Academy 02:35
- Residual plots | Exploring bivariate numerical data | AP Statistics | Khan Academy 06:12
- Interpreting computer regression data | AP Statistics | Khan Academy 05:13
- Impact of removing outliers on regression lines | AP Statistics | Khan Academy 05:44
- Example estimating from regression line 03:22
- Introduction to residuals and least squares regression 07:39
- Standard deviation of residuals or Root-mean-square error (RMSD) 06:43
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