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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.
This resource was reviewed using the Curriki Review rubric and received an overall Curriki Review System rating of 3, as of 2012-04-01.
In this activity, middle school students investigate the relationship between age and height. Students collect and record data, then construct a scatterplot and overlay a line of best fit in order to predict future height. Instead of using the students’ own data, students will look over height data from randomly selected females and draw inferences from that census data. This investigation follows the four components of statistical problem solving put forth in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report as well as the Common Core Standards for Mathematics (Grade 8). The teacher materials are detailed and clear. The lessons include a detailed overview and instructions, suggestions for student assessment and extensions, student handouts, and answer keys. This well-organized and thoughtfully prepared lesson is immediately useful in the middle school math / science classroom.