Date: Thu, 28 Oct 2010 14:01:40 -0700
Reply-To: Wensui Liu <liuwensui@GMAIL.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Wensui Liu <liuwensui@GMAIL.COM>
Subject: Re: PROC GLM
Content-Type: text/plain; charset=ISO-8859-1
i am wondering if your "dependent" is actually a typo of
"independent". could you please confirm?
On Thu, Oct 28, 2010 at 12:06 PM, Tanmoy Mukherjee <firstname.lastname@example.org> wrote:
> I am sorry but I misswrote. Loss Severity is indeed a continuous variable
> with a distribution close to normal but not normal entirely. The PROC I am
> using are PROC REG and PROC GLM for the purpose. PROC GLM because some of
> the dependent variables are categorical in nature.
> Hope that clarifies.
> Thanks and Regards,
> Tanmoy Kumar Mukherjee
> 3 Perrine Court,
> East Brunswick, NJ 08816
> Phone: 9173994540
> Email: email@example.com
> From: Wensui Liu <liuwensui@GMAIL.COM>
> To: SAS-L@LISTSERV.UGA.EDU
> Sent: Thursday, October 28, 2010 3:01:53 PM
> Subject: Re: PROC GLM
> i am very curious how the loan level loss severity is a categorical
> if it is the loss $$$, gamma might be the response distribution and
> therefore genmod procedure or alike might work well.
> On Mon, Oct 25, 2010 at 8:49 AM, Tanmoy K Mukherjee
> <firstname.lastname@example.org> wrote:
>> Dear All,
>> I am trying to run a regression on Loss Severity using some loan level
>> data on Mortgages. Since the dependent variables consist of Categorical
>> variables I am using PROC GLM. However the output is showing a string
>> relationship of Residuals with the Predicted value. I am getting an R
>> Squared of 38% but the Root MSE of 16.36 for a Predicted Value mean of 58.
>> I will appreciate if someone can help me with the same. I can send the
>> data if you someone wants to take a look at it.
> WenSui Liu
> I keep saying that the sexy job
> in the next 10 years will be statisticians.
> -- HAL VARIAN
I keep saying that the sexy job
in the next 10 years will be statisticians.
-- HAL VARIAN