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Hi everyone, i was wondering if anyone can assist me solve the following problem.I have one dependent variable Y and 5 independent variables X1, X2, X3, X4, X5.I want to determine the contribution of each independent variable to the realisation of Y. I believe that a multinomial logit model should enable me to do this. Can anyone explain how this works and how to implement it in SAS or SPSS?Thank you.

What are you doing that's different than a straight 5-factor linear regression you can do with linest() in Excel?

I agree with exoticCan you give use the type of variable you have (i.e dummy, continus, etc...). It might help us to give you an answer.You can also take a look at Principal Component Analysis

Ok exotiq and spaagg,assume that I want to look at how the following variables: Fico score, loan-to -ratio, coupon type ( fixed or ARM), loan balance, and geographical location impact the probability that a borrower would default on a loan. What would be the best model to perform that task?Thanks.

In that case, your multinomial logit model seem appropriate.However, I don't know the theory behind it. Can't help you more...

try these sites:http://www.washington.edu/computing/sof ... ds13.0.pdf or http://www.indiana.edu/~statmath/stat/all/cat/2c1.html or http://www.urbansim.org/class/presentat ... cture8.pdf or http://www.siue.edu/IUR/SPSS/SPSS%20Reg ... 2012.0.pdf.

Please provide some message in your topic heading so we know what you are asking about prior to digging deeper.Not doing this will lose most readers.