LargeProject.pdf

Math 1613 Large Project

Name:

1. (10 points) You will start your project by finding some data to model.

(a) Decide what you are going to model. Below are some suggestions. Write your topic here.

i. Look up the box office gross by week for your favorite movie.

ii. Look up stats for a sport. Plot their team wins against some other stat (points, rebounds, interceptions, ERA, etc)

iii. Look up the population or GDP of another country by year.

iv. Look up COVID data for another state or country.

v. Look up the stock price of a company you like by week.

vi. Choose something else interesting to you.

vii. If you have trouble locating or obtaining data, contact me and I will help you.

(b) Give a link to the source of your data here.

(c) Save the data into Excel.

2. (15 points) You will now create a model using the data you found in question #1.

(a) Using either Excel or Desmos, create a scatterplot of your data.

(b) Examine your scatterplot. Decide on an appropriate model. List your choice of model here and some reasons for your choice.

(c) Use Excel or Desmos to find the equation of your chosen model. Report the equation here.

3. (15 points) You will now use your model to make some predictions.

(a) Use your model to make an interpolation.

(b) Write a sentence interpreting your answer for part a in context.

(c) Use your model to make an extrapolation.

(d) Write a sentence interpreting your answer for part c in context.

4. (10 points) Write at least three sentences describing how well your model matches the data (or doesn’t). You can consider R2 values, visual inspection of the scatterplot, discussion of what features the data and your model share and whatever other relevant information you have.