Urgenttttt!!!! 100 points!!!

Given in the table below is data gathered by the American Prosecutors Research Institute in
2003. Use this data to construct a model to predict speed(mph) based on the length of the skid
mark (ft).

Speed (mph) - 24, 34, 42, 48, 54, 60, 64, 69, 73, 77, 86, 94
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Skid length (ft)- 20, 40, 60, 80, 100,
120, 140, 160, 180, 200, 250, 300

1. Create a scatter plot of this data.

2. Would a liner model be a good fit? Why or why not? Give specific evidence to support your claim.

3. Would an exponential model be a good fit? Why or why not? Give specific examples evidence to support your claim.

4. What other models are available? Try power functions, logarithmic functions. Which is the best fit for this data?

5. Use the Information you have gathered to create a model for predicting the speed of a car based on the skid marks at the scene.

6. Are there any other factors that may affect how long it takes a car to stop? Do you need any further information to create a good model? You may seek out this data as necessary.

7. Do you need to modify your model or construct additional models to support your claims?

8. Once you have developed your model use the case file you have been given to construct a case for your client.

Police report^^^^