# ALEX Classroom Resource

## Grade 8 Mathematics Module 6, Topic B: Bivariate Numerical Data

Classroom Resource Information

Title:

Grade 8 Mathematics Module 6, Topic B: Bivariate Numerical Data

URL:

Content Source:

EngageNY
Type: Lesson/Unit Plan

Overview:

Module 6, Topic B uses linear functions to model the relationship between two quantitative variables as students move to the domain of Statistics and Probability. Students make scatter plots based on data. They also examine the patterns of their scatter plots or given scatter plots. Students assess the fit of a linear model by judging the closeness of the data points to the line (8.SP.A.1, 8.SP.A.2).

Content Standard(s):
 Mathematics MA2015 (2016) Grade: 8 25 ) Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association. [8-SP1] NAEP Framework NAEP Statement:: 8DASP1b: For a given set of data, complete a graph and then solve a problem using the data in the graph (histograms, line graphs, scatterplots, circle graphs, and bar graphs). NAEP Statement:: 8DASP2c: Identify outliers and determine their effect on mean, median, mode, or range. Alabama Alternate Achievement Standards AAS Standard: M.AAS.8.25- Given a simple scatter plot of points in a straight line, identify a pattern. Mathematics MA2015 (2016) Grade: 8 26 ) Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line. [8-SP2] NAEP Framework NAEP Statement:: 8DASP1b: For a given set of data, complete a graph and then solve a problem using the data in the graph (histograms, line graphs, scatterplots, circle graphs, and bar graphs). NAEP Statement:: 8DASP2e: Visually choose the line that best fits given a scatterplot and informally explain the meaning of the line. Use the line to make predictions.
Tags: bivariate measurement, functions, linear, nonlinear, probability, quantitative, scatter plots, statistics, variables