Hi Kay,
Sorry for the late reply, I hope you have found my email. Here is the file i have worked out:
http://dl.dropbox.com/u/60644346/pricing_myworkout.xlsx
But before you browse this file let me tell you some important points!
Whenever it comes to reaching some result or deciding something on the basis of a data set, i.e. whenever you head for decision making or forecasting, the most important thing is that "Whether two variable show some correlation or not?" If they are positively correlated then your forecast can be amazingly accurate. This is a text book fact.
When i started examining your file, I found that "Correlation" between no. of students enrolled and your tuition fees approaches zero. That is a very bad omen when it comes to forecast what could it result into if you changes fees by 4%.
I used Book Operation Management by Render & Heizer that i studied in Production Engineeing to use "Associative Forecasting" for the data. But the variation in data is is clearly noticeable. Hence i resorted to "Moving Averages" that i assumed will smooth-en the curves. Hence you will find two sheets, one with actual values and second with averaged values. Enter the "Fee" and see what is the expected no. of students.
Lastly, It was more then just laying out an excel sheet. If you are really interested in your approach for fee change, please consult a teacher who can advise you on which type of statistical model or technique will best represent your data so that you can make a forecast on its basis. Once this issue is decided, making an excel sheet is just matter of click!!! Let us know about it.
I hope i have explained myself!!
Thanks
Faseeh