So the guy crushes walnuts with his head and what we get is a linear relationship. What I did was timed how long it took for each walnut to get crushed and collected in file. So now you can do some analysis. It's not a particularly interesting data set but it might give a fun context to look at linear relationships.

### Analysis

I guess the question that most comes to my mind (after "does he have a headache") is he crushing the walnuts at a constant rate. Careful observation might find a couple of spots where he hesitates a bit and you might want to discuss whether that shows up in the data. But is the data linear? Looking at the graph you can see that for the most part it is, but there is a slightly faster rate at the beginning and a slightly slower at the end but each section seems pretty linear.Another thing you might want to discuss is whether it should be Time vs Walnuts or Walnuts vs Time. Since rates are usually per unit time then it probably makes sense to do Walnuts vs Time but you could argue that the total time depends on the number of walnuts or that the total number of walnuts you could crush depends on how much time you have. Note that the easiest way to swap the axes in a Google spreadsheet is by changing the position of the columns so to do that I just copied the Time column to both sides of the Walnuts column.

### Sample Questions

Besides the above questions you could certainly ask:

- What's the line of best fit?
- What's the correlation?
- How many walnuts do you think he could crush if it were two minutes? 10 minutes?
- Is there a better fit than linear?
- How many nuts would he have cracked if he kept at the same pace as the first 10 seconds?
- What if he would have had the pace he finished with throughout the whole minute, how many nuts would he have cracked then? I think this was the previous record of 281.

### Download the Data

- Original video: https://youtu.be/i1PQX64cTgY
- Google Sheets Version
- CODAP Version
- Comma Separated Version

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