College Board Website, AP Statistics, Unit 2.9. We discussed: how to find and categorize influential points as outliers, high leverage points, or both; how to interpret nonlinear relationships that have been transformed for linear modeling -
College Board website, AP Statistics, Unit 2.8, we discussed: how the least squares regression line is determined by minimizing the sum of squared residuals; the interpretations of the slope and y-intercept of a linear regression model; and interpreting the coefficient of determination and computer output for regression.
Using the College Board website, AP Statistics, Unit 2.7, we discussed: Calculating and interpreting residuals, and constructing residual plots; and using residual plots to determine if linear models are appropriate for different data sets.
Using the College Board website, AP Statistics, Units 2.5 and 2.6, we discussed: the difference between correlation and causation; and the components of a linear regression model.
Using the College Board website, AP Statistics, Units 2.3, 2.4, and 2.5, we discussed: how to use summary statistics to determine if two categorical variables are associated; distinguishing between explanatory and response variables; how to construct and describe a scatterplot; and how to use correlation to interpret a linear relationship.
Using the College Board website, AP Statistics, Units 2.1, 2.2, and part of 2.3, we discussed: the introduction of the relationships between two variables; using two-way tables and graphical displays to determine if two categorical variables are associated; and demonstrated how to use summary statistics to determine if two categorical variables are associated.
