Scatter plots, association and interpolation

Scatter plots, association and interpolation

Read scatter plots as evidence about paired observations. This practice develops the language of direction, form and variability, while separating a useful description of data from an unsupported explanation of why a pattern occurs.

Original synthetic plots and small data tables support questions on negative association, curved relationships, interpolation, extrapolation, unusual observations and observational confounding. Predictions are evaluated within the recorded input range, and every dataset is explicitly hypothetical rather than presented as measured evidence about a real population.

Prerequisites include coordinates, rates and linear models. Single-select and multiselect tasks combine conceptual understanding, calculation and interpretation. For multiselect questions, evaluate every statement independently and select the complete supported subset.

The authored bank moves from introductory reasoning to applications and error analysis. Questions remain self-contained because delivery order can vary. Work on paper first, use each explanation to check the method as well as the result, and revisit a prerequisite when the same error recurs. This foundation practice supports later precalculus work without claiming mastery from a score alone.