This is physics

Due Friday Asg 115C Tumble Buggy 9/17 / 23 Asg 115C Tumble Buggy Name Period Exploration 5 Pts. Exploration 5 Pts. Nap Period Purpose: To use math and graphing to determine the relationship between distance and time for an object moving at constant speed. Materials: buggy, meter sticks, stopwatch Notes: BEST FIT LINE: Draw a line that fits the data points the best (a "best fit line"). To do this have about the same number of mber of points on each side of the line and, if possible have them Procedure: randomly distributed around the line if possible. 1. Get one of the fast buggies and record its number above table la. 2. Start the buggy before the -1.0 m point. 3. Start the stop watch when the buggy reaches the beginning of the meter stick (-1.0m). 4. Measure the time for the buggy to go 0.20m, that is, the time for it to reach -0.80m and record this in table la. 5. Repeat this but now measure the time it takes to go from the end to -0.60m. 6. Keep repeating this until your buggy has gone a distance of 2m. 7. Plot the data points from table la on the graph in figure 1. You try! Buggy # 4 Buggy # Position x (m) Time t (s) Position x (m) Timet(s) L.: -1.0 O -1.0 -0.8 10. 32 -0.8 Graph 2a 2b -0.6 8. 25 -0.6 2 . 3 -0.4 1.99 -0.4 3. 26 IS IT LINEAR: Determine whether the data are linear or not, based on this rule: The data is -0.2 20 46 -0.2 to4 4 linear if the points are randomly scattered about a line drawn through them 0.0 2.85 0.0 5.62 Figure 2 Best fit lines. 0.2 3all 0.2 16-77 0.4 3- 98 0.4 17.80 0.6 H. 56 0.6 18 - 90 8. Review the notes on Best Fit Lines in the box above. 0.8 5. 12 0.8 10 . 05 9. Draw the line of best fit through the points that you plotted in figure 1 1.0 5.59 1.0 10. Is the data linear? Explain your answer, using the criteria in the Best Fit Lines box. Fast Buggy Slow Buggy Table 1a Table 1b 11. Now repeat the experiment with one of the slow buggies and record your data in table 1b. Be sure to record your buggy's number. 12. Plot the points. 13. In a different color draw a Best Fit Line for the slow buggy data. 14. What do you notice about the slope of the line compared to that of the fast buggy