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Bivariate Quantitative Data: Scatter Plots and Linear Regression

10th Grade · Math · Open Global Math

7 lessons

Goal

Analyze bivariate relationships, fit least-squares regression lines, interpret correlation coefficients, and examine residuals.

7 lessons
0 of 7 done
  1. Constructing and Interpreting Scatter Plots: Direction, Form, and StrengthUp next
  2. Scatter Plots and Lines of Best FitYou are here
  3. Linear Regression and Line of Best Fit EquationsNot started yet
  4. Making Predictions: Interpolation vs. Dangers of ExtrapolationNot started yet
  5. Calculating Residuals and Analyzing Residual PlotsNot started yet
  6. Pearson's r and the Coefficient of Determination (R²)Not started yet
  7. Evaluating High Leverage Points and Influential OutliersNot started yet
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Learning standards covered

GlobalOGM.11.STA.4Open Global Math Standards 2026™ · 10th Grade

Analyze bivariate quantitative and categorical data using scatter plots and two-way tables; fit linear regression models (lines of best fit); evaluate correlation versus causation; and critique statistical claims and media reports using sample-to-population inferential reasoning.