Regarding John's comments on multiple regression:

1. Matrix algebra is not necessary, and for purposes such as stepwise multiple
linear regression will actually get in the way.
-In your opinion, what type of statistics are better suited for matrix 
algebra?

2. I have a little treatise I wrote on stepwise multiple linear regression in
meta/hypercard, including the relevant meta/hypertalk code. 
-In this stack, you stated that the simple multiple regression routines used 
here are based on two simple, but elegant routines that are at the heart of 
virtually any multiple regression package commercially available: the 
recursive SSCP algorithm and the Sweep algorithm. As I understand , logistic 
regression is just a transformation of the dependent variable to the log odds 
ratio, after which the usual regression procedures are followed. Can your 
stack/routines be modified to perform logistic regression?
ie. determine Coefficients and Standard Errors...Odds Ratios and 95% 
Confidence Intervals...
mike 




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