I was surprised that with only one scale var the fit should be fairly straightforward.but the var00003 vs logit does not look so linear and that should indicate perhaps a 2nd degree or another transformation be used or a discontinuous function.

This is a reverse problem: from solution we should guess data and analysis needed!

Max.

From: Bruce Weaver [via SPSSX Discussion] [mailto:ml-node+s1045642n4985345h85@n5.nabble.com] Sent: Friday, November 11, 2011 12:38 To: MaxJasper Subject: RE: LOGIT - Logit Transformed Responses CALCULATION

Max, you seem to be suggesting it is incorrect, or at least inappropriate to have a logit model with only one continuous (or scaled) explanatory variable? Why is that? I don't see a problem, provided the relationship is linear in the logit scale.

Cheers, Bruce

MaxJasper wrote:

It appears that you only have a single scale variable and trying to fit a logit model?!!! Is there any categorical var? any freq (weight) var? Can you

specify the data and then required stat you need?

Max.

From: ruegdeg [via SPSSX Discussion] [mailto:[hidden email]] Sent: Friday, November 11, 2011 3:31 To: MaxJasper Subject: LOGIT - Logit Transformed Responses CALCULATION

Dear all,

i perform LOGIT regression in PASW software and Im wondering about the results. This table <http://www.scandinavia.sk/data/spss/table1.jpg <http://www.scandinavia.sk/data/spss/table1.jpg%3e> > shows the probabilities that were calculated from inputs. In this table <http://www.scandinavia.sk/data/spss/table2.jpg <http://www.scandinavia.sk/data/spss/table2.jpg%3e> > are related estimates. This picture <http://www.scandinavia.sk/data/spss/picture1.jpg <http://www.scandinavia.sk/data/spss/picture1.jpg%3e> > shows the Logit Transformed Responses graph. But i have no idea how to calculate values showed in this picture and why there are less points like probability

value. I really appreciate any help. Kind regards, R.

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