- Choose your topic
- Collect and organize data - Your data set must include at least 15 points of data.
- Graph the data, labelling both axes of your graph
My chosen Topic was Potatoes produced in China (1961-2013)
Graph of Potato Production in China
- Split the data into equal intervals
- Find the line of best fit for each of those intervals
- Explain your reasoning for the slope and y-intercept that you chose. How did you arrive to those numbers.
- Graph your line of best fit for each interval
- Set the domain from the starting point to the end point.
Choosing the Numbers
When choosing these numbers I decided to focus on which two dots would create a function that would create the best line to fit all of the dots. My strategy was simply to hold up a line, in this case my pen, and find two dots that were most likely to form a line as mentioned before.
- Find a line (or curve) of best fit for your entire data set.
- Make a predictions for what the values will be in
- 2067 (50 years from now)
- 2112 (95 years from now)
50 Years from Now, 456,900,000 Potatoes
95 Years from Now, 864,650,000 Potatoes
As you can see from the graph the the data rises gradually. There are a few outliers, the main one being in 2006, which are all due to either, loss in consumer demand or a result of weeds and parasites. When it comes to predicting the future of potato production the graphs is pretty accurate. Potatoes are one of the most consumed food products, thanks to it's versatile use and cheap price. And as human population grows potato consumer demand will increase, and therefore so will potato production. Of course This will be all irrelevant if a potato famine, or a loss in demand happens. But for the foreseeable future this data is accurate.