Correlation is a mutual relationship or connection between two or more things. Causation is the relationship between cause and effect. Why might I be telling you this? Well I will tell you right now. For our last Math project of the year, we we’re assigned a unique project. For this project we would have to create two graphs. One that would contain two things that correlate, and two different things that cause each other. In order to do this we needed to collect data (either by doing surveys or from the internet) and put them into our graph. But lets not jump ahead too far. I was paired up with Daniel wick stone for this project. I knew this project was going to be fun because Daniel is one of my good friends. Anyways, me and Daniel needed to choose what topics we would do our project on. We thought of one of the main issues in America today, shootings. Then we took that idea and tried to find something that correlates with it. Our final question evolved into “Do the number of gun sales correlate with the number of shootings?”. After we had decided on our first question we started to work on finding our second question, this one needed to cause itself. Again, we thought of something that effects the continent today. We came up with the question “do cookies cause diabetes?” Now, obviously if you just ate cookies for the rest of your life you would definitely get diabetes but what we were looking at was a similarity between the number of cookie sales versus the number of diabetic people. After days of collecting data, we had finished. Now all we needed to do was put the data into their graphs. We found out that there is no record kept of gun sales in America but there is a record of gun background checks, this is almost the same as the number of sales because a background check is done every time someone buys a gun. when it came to the gun graph, we found that the two topics did correlate with each other. When it came to the cookie sales and diabetes data, we also found that the two topics cause each other. Now that we had confirmed our estimates and finished our graphs, we needed to present. Daniel and I created a keynote that not only showed our data, but gave evidence for our data. We also explained at the beginning what correlation and causation means, just like I did at the beginning of this post! Anyways, thanks for reading and I hope you have a great summer!