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Scatter It! (Predict Billy’s Height) Written by:

By Susan Haller


In this lesson, students explore the relationship between age and height in order to help a hypothetical student predict his height in two years. Students will examine data that will enable them to create a scatterplot and approximate a line of best fit. The scatterplot and line of best fit will be used to predict height. The slope of the line of best fit will be interpreted in context. GAISE Components This investigation follows the four components of statistical problem solving put forth in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report. The four components are: formulate a question, design and implement a plan to collect data, analyze the data by measures and graphs, and interpret the results in the context of the original question. This is a GAISE Level A activity. Common Core State Standards for Mathematical Practice 1. Make sense of problems and persevere in solving them. 2. Reason abstractly and quantitatively. 3. Construct viable arguments and critique the reasoning of others. 4. Model with mathematics

Year: 2013
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