Lesson Plan Title: How tall are you? by: Bryan Freyberg, NSF Fellow, University of Minnesota Duluth. 2008. Concept / Topic To Teach: Fitting a line to data (linear regression) and use of scientific method. Standards Addressed: MN State Math Standard 7.2.1.2: Understand the concept of proportionality in real-world and mathematical situations, and distinguish between proportional and other relationships. General Goal(s): To increase students’ ability to recognize and quantify linear relationships through experimentation and plotting data. Specific Objectives: Students will use inquiry to design and carry out an experiment to test a hypothesis. Students will plot data in a scatterplot and impose a best-fit line to the data. Students will formulate an equation for their best-fit line and use the equation to extrapolate information. Required Materials: Meter sticks (one stick per pair of students). Student Sheet (1 per student) Anticipatory Set (Lead-In): “Have you ever heard people say that your armspan is supposed to be the same as your height?” Step-By-Step Procedures: 1. Anticipatory set and brief discussion. Brainstorm with students how to answer the question through experimentation. (2 minutes) 2. Distribute Student Sheet, pair students, distribute meter sticks. As a class, fill out the steps to the experiment on the Student Sheet (per anticipatory discussion). (5 minutes) 3. Students take armspan and height measurements in centimeters and compile class data. (10 minutes) 4. Students produce a scatterplot of the class data on the grid on Student Sheet. (15 minutes) 5. Discuss whether the data supports the hypothesis. Teacher explains linear regression method and students use a straightedge to fit a line to the data. (5 minutes) 6. Students use their line to answer questions #1 and #2 on the Student Sheet.(5 minutes) 7. To conclude, discuss the validity of this method of linear regression. Teacher demonstrates the method of least squares and rewards students with the closest prediction of teacher armspan and Michael Jordan’s armspan. (5 minutes) 8. Extension: Students assign variables to armspan and height and write an equation for the relationship fitting the class data. Students algebraically verify their answers to questions 1 and 2 using their equation. Student Sheet: How tall are you? Name _______________ Have you ever heard that your armspan is supposed to equal your height? Let’s design an experiment to find out it that’s true. Step 1: _________________________________________________ Step 2: _________________________________________________ Step 3: __________________________________________________ Step 4: __________________________________________________ My Hypothesis: _________________________________________________________ Define the variables of your experiment: ____________is the independent variable and ___________ is the dependent variable. My height: __________(cm) My wingspan: __________(cm) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ After the class is finished with the experiment, answer the following questions. 1.) Do the class results for the experiment support your hypothesis? 2.) Measure Mr. Freyberg’s height. Use your graph to predict Mr. Freyberg’s wingspan. How close were you? Mr. Freyberg’s height: _________(cm) My prediction of Mr. F’s wingspan: _________(cm) Mr. Freyberg’s actual wingspan: _________(cm) My error in prediction: __________(cm) *3.) Bonus: Michael Jordan is 6 feet and 6 inches tall. Predict his armspan.