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MAS 362 Decision Tools for Management – Final Project
The project can be completed individually or in a group of up to three people. It’s okay to work with someone in a different section.
Focus: The overall topic is your choice. Select a dependent variable y that is a quantitative variable. (Building a model to predict a categorical variable – for example, win or lose – is possible, but beyond the scope of this course. See chapter 10 if you are interested!) In general, you will find that you will get more out of this project if you choose a focus you find interesting and on which you already are knowledgeable.
Dataset: You need to assemble information on at least 8 x variables, and at least two of those should be categorical variables.
You must have at least 100 observations; in other words, 100+ firms, 100+ football games, 100+ weeks of stock prices, etc.
Project proposal: This will be informal. On or before ____________________,
send me with the following information in an email (not an attachment):
1. Your topic
2. The rationale for why your team chose this topic
3. What you are predicting (remember: this must be quantitative!)
4. Your specific x variables (At least eight, where at least two are categorical variables)
5. The rationale for each x variable choice
5. Data source(s) – I’d like you to have visited these databases or websites before you submit a proposal. Why? Sometimes we have great ideas, but either the data is not available or there are too many barriers between you and the information you need. For example, knowing a corporation’s monthly marketing budget would be very helpful in analyzing its sales, but this information is rarely public.
6. The name of each team member and their section. These people should be cc’d on the email.
What I do next: I will comment on your project and make suggestions if necessary. I may find your rationale for a variable choice weak and ask you to find another one.
� Count the number of categorical variables, not the number of sub-categories. For example, SEASON has four subgroups – spring, summer, fall, and winter – but it counts as only one variable, not four. Also, DIVISION has two subgroups – AFC and NFC – but it counts as only one variable.