Public learning track
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.
Featured Diagrams
Bivariate Data: Scatter Diagrams and Linear Correlation
8 lessons
0 of 8 done
- 1Bivariate Data: Scatter Diagrams and Linear CorrelationUp nextStart
- 2Calculating and Interpreting the Pearson Correlation CoefficientPremiumNot started yet
- 3Distinguishing Correlation from Causation and Lurking VariablesNot started yet
- 4Fitting Least-Squares Linear Regression Lines and Analyzing ResidualsNot started yet
- 5Making Predictions from Linear ModelsNot started yet
- 6Identifying Linear, Quadratic, and Exponential Patterns in Scatter PlotsNot started yet
- 7Fitting and Interpreting Quadratic Regression ModelsNot started yet
- 8Fitting and Interpreting Exponential Regression ModelsNot started yet
Curriculum Framework
9th Grade · Math · Open Global Math
1
8 lessons
Statistical Investigations, Sampling Methods, and Bias
Design statistical investigations, analyze sampling techniques, detect bias in media, and infer population parameters from sample data.
2
8 lessons
Univariate Data: Measures of Center, Spread, and Displays
Compute and interpret central tendency and dispersion, and display single-variable numerical data using box plots, histograms, and stem plots.
3
8 lessons
Bivariate Data, Correlation, and Regression Modeling
Analyze bivariate data, calculate and interpret Pearson's r, fit linear, quadratic, and exponential models, and evaluate predictions.
4
9 lessons
Probability: Counting Principles and Compound Events
Calculate probabilities of simple and compound events using counting principles, tree diagrams, two-way tables, and probability rules.