In article <[EMAIL PROTECTED]>, Robert J. MacG. Dawson <[EMAIL PROTECTED]> wrote:
>Fahd wrote: >> Hi, >> Does anyone know how would it be possible to convert discrete data >> to >> continous data for regression analysis? ><FLAME level="gentle"> Please, please, please. Asking for help on data >analysis without saying as much as you can about what the data are and >where they are from and what you want to know about them is like going >to the doctor and saying you have a friend who thinks he might have VD. ></FLAME> > So, where are these data from and... > -Robert Dawson It is even worse. Every statistical procedure has underlying probability assumptions, and it is clear that anyone asking a question on how to convert data so it can be used for regression analysis does not have any idea of what the assumptions are, nor what the results would mean. While it is very often done, it is improper for the statistician to construct the model; if the user cannot make the assumptions, the statistician is no longer a consultant, but a coauthor. With the current packages, it is often the case that nobody has any idea of what anything means, but the believers in the computer output can sure do a lot of damage by using the ritual. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Deptartment of Statistics, Purdue University [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
