exit ramp experiment pt 2
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Exit Ramp Experiment – Part 2 We are going to push cars down a ramp to determine the how the variables in the rela<onship effect one another. 1. Iden<fy the following: Independent variable, Dependent variable,
Rate of Change, and the units of each of the three. Conduct the experiment by crea<ng a simple table. Take an ini<al measurement. Then change the independent variable and take a new measurement. Record your data in the table. Repeat for a total of 5 domain values. 2. Does the data depict a func<onal rela<onship? Jus<fy your answer.
3. What kind of correla<on does your data depict? Jus<fy your answer. 4. What is the domain and range of your data? Use the correct nota<on. 5. Create a scaOerplot of your data on graph paper. Make sure to label the x and y axis with the correct quan<ty and units. Make sure to use an appropriate scale. Create a <tle for your scaOerplot 6. Does your data depict a con<nuous rela<onship or a discrete rela<onship? Jus<fy your answer. 7. Use you scaOerplot to determine the height of the ramp if the car travels 22 feet. Assume your ramp is sufficiently long. Explain how you got your answer. 8. Use your scaOerplot to determine distance traveled if 6.5 books were used. Assume you can split a book in half. Explain how you got your answer.
x y
-‐1 5
3 3
-‐1 0
x y
-‐1 5
3 3
4 -‐2
Not a func*on because -‐1 has a y value of 5 and 0
These are func*ons since each x value has only one y value, even if the points repeat.
x y
-‐1 5
-‐1 5
4 -‐2
Posi<ve Correla<on: as x increases, y increases Nega<ve Correla<on: as x increases, y decreases
or as x decreases, y increases No Correla<on: neither above, no trend
x y
-‐3 12
-‐1 10
0 9
2 7
5 3
Domain: [-‐3,-‐1,0,2,5] Range: [12,10,9,7,3]
# textsmonth
mileshour
Discrete: Can you send 0.5 or 0.365 of text message? No only whole texts. A graph of isolated points.
Con<nuous: a situa<on that can be expressed as a decimal or frac<on. It is possible to travel at a speed of 64.24564 mph.