Unit 7: Module 5: Slope-Intercept, Scatterplots and Correlation/Causation

Patterns of Association: Understand how to investigate patterns of association in bivariate measurement data, including clustering, outliers, and positive/negative or linear/nonlinear associations.

Linear Modeling: Know that straight lines are used to model relationships between two quantitative variables and how to informally fit a trend line to data.

Interpretation: Understand the meaning of slope and intercept within the context of bivariate measurement data.

Categorical Data: Know how to construct and interpret two-way tables for categorical variables collected from the same subjects.

Construct and Interpret: Create scatter plots and two-way tables from word problems or data sets.

Model Fitting: Informally fit a line of best fit and assess its fit based on the closeness of data points.

Solve Problems: Use the equation of a linear model to solve problems and interpret slope (rate of change) and intercept (initial value) in context.

Analyze Relative Frequency: Calculate and use relative frequencies from two-way tables to describe possible associations between variables.

Module 5 Unit Test

Module 5 Practice Test

Performance Tasks

Exit Tickets

Expressions and Equations II Interim Assessment