Write a 1-2 page project proposal. The proposal should answer the following questions:
• What is your statistical problem, why is it important?
• What statistical methods can be applied to solve this problem? (Google will be your best friend here)
• What R packages do you need to implement those methods?
• How will you collect your data? Is it available online?

Your answer to the first question should at least be 2 paragraphs long, and probably even longer.

Resources for Datasets
- UCI Machine Learning Data Repo
- Health and Medical Care Data Archive
- US Census
- Yahoo! Finance, Reuters or Bloomberg
- R packages

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These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice. Unethical use is strictly forbidden.

In predicting the price of financial asset such as stock prices, it is common to model the price behavior with prices of other stocks and its own past prices. Because almost all the stocks are traded in only a few markets, public data for all those stock prices are available at the same frequencies, for instance, by closing price of day, by hour, or by minute. Therefore, it is fairly easy to obtain a long time series of stock price of each firm and the tomorrow’s stock price of particular firm or the return (the percentage change) can be modelled as a standard multiple regression on today’s stock prices of all others available.
The above approach has a few problems. The first is that it the model were to include the lagged price data for all other stock prices, the model quickly loses the degrees of freedom. For example, one of the popular stock index S&P500 is an American stock market index based on the market capitalizations of 500 large companies having common stock listed on the NYSE or NASDAQ....

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