Math 6010, Spring 2004, Project 4 (Due: December 10, 2004)


- First and foremost, READ CHAPTER 7.

- Then, have a look at the file "AbdominalCancer.desc" to understand
  where the data comes from, and how the data is collected. The actual
  data is in "AbdominalCancer.txt." This is a plain (ASCII) file.

- The data was collected, together with other interesting data sets,
  in "http://www-unix.oit.umass.edu/~statdata/statdata/data/index.html."
  This data set is particularly well-suited for polynomial regression.

- Your task is multi-fold: 

	o Examine the data carefully; detect trends, etc.
	o Perform polynomial regression of log(y) ("dependent variable")
	  against log(x) (the "dependent variable") using at least a 
	  fourth-order polynomial. 
	  [You should probably use the Forsythe-Hayes algorithm, as it 
	  was worked out in the lectures, rather than the one suggsted 
	  in your text.]
	o Apply Hayes's "backward elimination procedure" (p. 168) to try 
          to reduce the order of your polynomial regression model.

- This is your last assignment for the term. It has been a highly enjoyable 
  term, and a pleasure to read your ideas/works.