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From | Heng Lu <luheng9@gmail.com> |
To | Richard Williams <richardwilliams.ndu@gmail.com>, "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | RE: st: about residuals and coefficients |
Date | Mon, 2 Sep 2013 05:17:29 -0700 |
Hi, For your first question, you should look at the semi-partial r square for x1 and x2. You put both x1 and x2 into model, get a r-square 1. You put x1 into model only, get a r-square 2. You put x2 into model only, get a r-square 3. The semi-partial r square for x1 is r-square 1 - r-square 3, that's the contribution brought about by x1. The semi-partial r square for x2 is r-square 1 - r-square 2. Please google semi-partial r square for more information. Regards, Lu Heng From: Richard Williams Sent: 2013/9/2 19:56 To: statalist@hsphsun2.harvard.edu Subject: Re: st: about residuals and coefficients At 04:57 AM 9/2/2013, Kayla Bridge wrote: >Dear all, >I am currently running a simple regression, and try to explain the >coefficients. The model and estimation results are the following. >y=5.41+1.24*x1+.28*x2, R2=0.7, N=20 > (0.58) (3.4) (2.56) >The t-stats are in parentheses. >I'd like to know how much (in terms of percentage) of the change in >y is accounted for by change in x1, and how much change in y by change in x2. Unless x1 and x2 are uncorrelated, you can't say something like x1 accounts for 40% and x2 accounts for 60%. I'm guessing -pcorr- comes closest to what you want. Read the manual entry as it is much more detailed than the program help. >Another question is: can I use [sum(residual^2)]/[sum((y-ybar)^2)], >where ybar is the mean value of the dependent variable, to say >something about percentage of residual, like smaller percentage of >residuals implies that x1 and x2 are good explanatory factors for y? Why don't you just use R^2? I could be wrong, but your formula looks like 1 - R^2. >Any suggestion is greatly appreciated. >Best, >Kayla ------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/