1.2+Drawing+Graph+Models

18 August,2008 Sneha Big Idea:Many real world setuations can be modeled and predicted using mathematics. Essential Question:What kind of relationships make straight line graphs? Notes from Class: __//**1.2 Drawing Graph Models**//__ graphed in Problem 1.1.** A. layers thick?** B.Based on my graph models I think that the breaking point for bridges with 6 and 7 layers will be 71 and 81 pennies. would you predict for bridges 2.5 and 3.5 layers thick?** C. I think that breaking points for bridges 2.5 and 3.5 layers will be 25 and 35. Because if you see the point of intersection at 2.5 layers to the line. 1. It is unlikely that your (thickness,breaking weight) data fit a linear pattern exactly. There are 2 students who attempt to draw lines to model their groups data ( in book).** //**a**//**//.// Which graph model would allow the students to make better predictions about breaking weights for bridges of different thicknesses?Why?** 1a. I think that the first graph model will help me make better predictions because as you can see the last three points are linear and that might show us that after the point all the other points might be linear. part a to help them make even better predictions?** 1b. Yes, I do have one suggestion and that is that the students should try to get as many points on the graph as possible. as possible. Compare your graph models with those drawn by others in your group. What strategies did you use to help you draw an appropriate graph model?**
 * Graph model:A straight or a curved line that shows a trend in a set of data.
 * A. Draw a straight line that seems to fit the pattern in the (thickness,breaking weight)data you
 * B. Based on your graph model, what breaking weights would you predict for bridges 6 and 7
 * C. Suppose you could use half-layers of paper to build the bridges. What breaking weights
 * //Problem 1.2 Follow up//
 * b. Do you have any suggestions for how the students could change the graph model you chose in
 * 2. For each graph on Labsheet 1.2, try to find a graph model that fits the experimental data as closely