Message-ID: <152066AF-42DA-4368-8F51-19E82F99063B@comcast.net>
Date: 2013-02-16T06:36:57Z
From: David Winsemius
Subject: Interpret R-squared and cor in R
In-Reply-To: <CAPTbr1qkgr1voKNjooB3kOX6=U1+2SHg-ca+5WXpQRe=a8ppRg@mail.gmail.com>
On Feb 15, 2013, at 9:26 PM, Janesh Devkota wrote:
> Hi I am trying to find the relationship between two variables.
>
> First I fitted a linear model between two variables and I found the
> following results:
> Residual standard error: 0.03253 on 2498 degrees of freedom
> Multiple R-squared: 0.5551, Adjusted R-squared: 0.5549
> F-statistic: 3116 on 1 and 2498 DF, p-value: < 2.2e-16
>
> Then I used the cor function to see the correlation between two
> variable
> I get the following result
> -0.7450344
>
> How can we interpret the result based on R-squared and correlation ?
> From
> the p-value we can see that there is very strong relationship between
> variables as it is way less that 0.001
>
> Can anyone kindly explain the difference between Multiple R squared,
> adjusted R-squared and correlation and how to report these values
> while
> writing a report ?
This is not an on-topic question for this mailing list. The
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wished. (Please read the Posting Guide.)
--
David Winsemius, MD
Alameda, CA, USA