To complete this investigation it is best to work with a partner, if possible. You will need the following materials
- toy car or ball
- board or eaves trough; eaves trough preferable because it will prevent the object falling off the sides.
- a measuring device such as Calculator-Based Ranger™
- calculator
- Black line Master 1.2.1
- Black line Master 1.2.2
If the technology for measuring is not available, use Black line Master 1.2.1 data to model the situation. However, if you cannot perform the investigation make sure you understand the set-up and procedure that it entails
Materials to carry out this may be available through your science teacher. Check it Out !
Complete the investigation and the questions before continuing beyond this point !
The equations in the investigation may be found by using the sequence of difference methods as well as regression. The point here is for you to decide which type of regression is illustrated by the data. As you enter the data and complete the scatter plots, think about the types of regression analysis to use. Compare a quadratic regression with a cubic regression. They look amazingly alike ! However, change your window settings such that you have greater values of the domain (time) What do you notice about the graphs ? Which regression equation would you use ? Why ? These are important questions. Discuss it with your classmates and your teacher.
Investigation questions p.15 - 16. Complete 1,2,3 and 4
Think About p.15 and p.16
Check Your Understanding p.16 -17. Complete 5, 6,7, 8 and 9
When you have completed these questions, ask your on-site teacher to get the solutions for you from the Teacher's Resource Binder and check them against your answers. After you do this, if there is something you had trouble with and still do not understand, contact your on-line teacher for help.
After you do the assigned activities, continue on to the Test Yourself section for a quick quiz on this lesson.
List characteristics of a set of data and its scatter plot that will help you determine which type of regression to use. Add this to your Journal.