Date: Fri, 25 Jan 2008 17:41:17 0800
ReplyTo: jimjohn <azam.khan@UTORONTO.CA>
Sender: "SPSSX(r) Discussion" <SPSSXL@LISTSERV.UGA.EDU>
From: jimjohn <azam.khan@UTORONTO.CA>
Subject: Re: Regression Output
InReplyTo: <6250203B042D8349A920AA61038309360496ED1C@UTHEVS3.mail.uthouston.edu>
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thanks guys. so how would i go about deciding if the two variables are
correlated in this case. im guessing that since the sample size is so high,
a lot of my variables will be significantly correlated and that i shouldnt
pay much attention to this particular significant correlation. does that
sound rigiht? thx.
Swank, Paul R wrote:
>
> Yes, it is because you have 24,000 observations on each measure. T = r /
> sqrt[(1r**2) / (n2)] so the t for a correlation of .05 is 7.755. Even
> a correlation of .01 has a t of 1.55 with a sample size that large. So
> the next question is, can such a correlation ever be of real importance.
> Examples could probably be given for the practical significance of such
> a small correlation but it would be unlikely for most problems.
>
> Paul R. Swank, Ph.D.
> Professor and Director of Research
> Children's Learning Institute
> University of Texas Health Science Center  Houston
>
>
> Original Message
> From: SPSSX(r) Discussion [mailto:SPSSXL@LISTSERV.UGA.EDU] On Behalf Of
> jimjohn
> Sent: Friday, January 25, 2008 1:29 PM
> To: SPSSXL@LISTSERV.UGA.EDU
> Subject: Re: Regression Output
>
> hey just to follow up when i do analyze  correlate  bivariate, I get r
> =
> .061 and significant. i guess because the sample size is so large
> (24,000),
> that maybe thats why even a small correlation becomes significant? any
> ideas. thanks.
>
>
>
> jimjohn wrote:
>>
>>
>> can someone plz help me with this:
>>
>> I just conducted a simple linear regression and my output looks like
> this:
>> R^2 = .004, R^2adj = .004
>>
>> Under ANOVA, the F* = 91.462, SIG = 0.000
>>
>> Under Coefficients
>> beside my independent variable, it gives me:
>> Unstandardized = 0.112 , StdError = 0.012, T* = 9.564 , Sig = 0.000
>>
>> I don't understand how can the tests be significant if the R^2 is so
> low?
>> Since my test results are significant, that means I can conclude there
> is
>> a relationship between the two variables right? Can someone please
>> explain. thanks.
>>
>
> 
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