Students create a scatterplot based on data from an experiment and answer questions related to their graph.
This activity can be completed as a whole class with guidance to introduce scatter plots and the vocabulary. Or, it may be used as independent practice if students are familiar with scatter plots.
The student activity is 2 pages in PDF format. An answer key is included, along with extension questions. This activity can lead to great discussions about misleading graphs and the difference between causation and correlation.
Common Core Standards:
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.
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.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
Thank you for your interest in this activity from Rise over Run.
Scatter Plot Practice
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