Outline for the project final report

1. [10 points] Describe the question of interest, providing some background if necessary.
2. [10 points] Describe the simulator, discussing the response and explanatory variables (and how those were chosen, if applicable), and possible lurking variables.
3. [10 points] Describe the data collection methods, including what steps are being taken to insure a good sample is collected. Give the experimental design if applicable. Include a mention of how long data collection took (which might include a breakdown of parts such as setting up the simulator, running the simulator, writing scripts, etc.).
4. [10 points] Describe the data. If the dataset is relatively small, include the data in your report. If the dataset is large, just give summary information. In either case, provide exploratory data analysis. Provide justification for any outliers that were discarded.
5. [30 points] Describe your data analysis. Be sure to specify what your model is, and then explain the key steps you took in fitting this model. Include relevant bits of R output as applicable (but not all of your R output). Check model assumptions if possible (and if found to be not valid, do something about it).
6. [20 points] Describe your conclusions (in the context of the problem). Explain your fitted model and how different explanatory variables affect the response. Discuss optimization if applicable.
7. [10 points] presentation (5-10 minutes in class on Thursday June 7, details below)

Groups should turn in one joint report for the group.

Outline for short final presentation

• question of interest
• which simulator, what variables
• experimental design or data collection methodology (briefly)
• any noteworthy aspects of the dataset? (if not, can skip this)
• model for the data
• results and conclusions