thanks a lot for the replies to my two threads, Dave!

It's exam time for me at the moment (and I dont have stats classes anymore..its more of a hobby) so I cant read up too much about logistic regression and how it works, right now. I'm still too curious about it not to ask, though

.

I was hoping to get an overview of the regression techniques (other than the OLS multiple regression analysis, I already know) that exist and which are applied in the real world (for example in business/marketing).

From what I've gathered there are these:

- the plain..normal..OLS multiple regression (the one which I already know)..either linear or as a log-lin or a lin-log or a log-log or a..... model

- the logistic regression..which is very similar to the OLS as you mentioned (Im not completely sure how it works, but I think I have a rough idea)

- the robust regression - which seems to not be put to use a lot in practice as it seems to be 'unpopular' (?)

- multivariate regression - which is the same as the OLS multiple regression just that multiple variables are changed at the same time (?)

- regression with time series data..which isn't really different from regressions with non-time data

- probably multiple combinations of the above techniques

Would you say these regression techniques are the ones that are used in most cases in a business/marketing setting? Or are there other regression techniques I left out that are used quite frequently?

thanks again!!