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Bivariate Data, Correlation, and Regression Modeling

9th Grade · Math · Open Global Math

8 lessons

Goal

Analyze bivariate data, calculate and interpret Pearson's r, fit linear, quadratic, and exponential models, and evaluate predictions.

8 lessons
0 of 8 done
  1. Bivariate Data: Scatter Diagrams and Linear CorrelationUp next
  2. Calculating and Interpreting the Pearson Correlation CoefficientNot started yet
  3. Distinguishing Correlation from Causation and Lurking VariablesNot started yet
  4. Fitting Least-Squares Linear Regression Lines and Analyzing ResidualsNot started yet
  5. Making Predictions from Linear ModelsNot started yet
  6. Identifying Linear, Quadratic, and Exponential Patterns in Scatter PlotsNot started yet
  7. Fitting and Interpreting Quadratic Regression ModelsNot started yet
  8. Fitting and Interpreting Exponential Regression ModelsYou are here
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Learning standards covered

GlobalOGM.10.STP.3Open Global Math Standards 2026™ · 9th Grade

Construct scatter plots for bivariate numerical data, compute and interpret the Pearson correlation coefficient r, distinguish between association and causation, fit linear, quadratic, and exponential regression models, and make predictions.