Exploring bivariate numerical data | AP Statistics | Khan Academy
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35 learners
What you'll learn
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 Academy07:20
- Studying, shoe size, and test scores scatter plots | Probability and Statistics | Khan Academy02:26
- Constructing a scatter plot | Regression | Probability and Statistics | Khan Academy02:31
- R-squared or coefficient of determination | Regression | Probability and Statistics | Khan Academy12:41
- Bivariate relationship linearity, strength and direction | AP Statistics | Khan Academy08:12
- Calculating correlation coefficient r | AP Statistics | Khan Academy12:22
- Introduction to residuals and least-squares regression | AP Statistics | Khan Academy04:49
- Calculating residual example | Exploring bivariate numerical data | AP Statistics | Khan Academy04:51
- Calculating the equation of a regression line | AP Statistics | Khan Academy08:11
- Interpreting slope of regression line | AP Statistics | Khan Academy02:57
- Interpreting y-intercept in regression model | AP Statistics | Khan Academy02:35
- Generalizabilty of survey results example | AP Statistics | Khan Academy03:33
- Residual plots | Exploring bivariate numerical data | AP Statistics | Khan Academy06:12
- Standard deviation of residuals or root mean square deviation (RMSD) | AP Statistics | Khan Academy07:06
- Interpreting computer regression data | AP Statistics | Khan Academy05:13
- Impact of removing outliers on regression lines | AP Statistics | Khan Academy05:44
