Many teachers are being asked to teach statistics along with traditional integrated I or Algebra I courses. The purpose of this module is to help introduce teachers to bivariate (two variable) data concepts and ideas for their classroom introduction. Concepts covered will include bivariate categorical data, bivariate quantitative data, and regression analysis.

- Understand the idea of bivariate data
- Understand how to construct & read a two-way table with bivariate categorical data
- Understand the idea of linear regression (LSRL and median-median) for bivariate quantitative data
- Understand how to perform a regression with technology
- Understand how to interpret slope and y-intercept
- Understand how to interpret correlation coefficients
- Understand residual plots

- Ability to construct & read a two-way table
- Ability to conduct a linear, quadratic, exponential regression
- Ability to compare/contrast LRSL & median-median models
- Ability to understand residuals and interpret residual plots

- Know that linear regression models are predictive – not absolute
- Understand that using a regression model to predict a value outside the range or the original data set is poor practice

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