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From |
aapdm <aapdm_999@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Anova |

Date |
Fri, 28 Nov 2008 14:35:00 +0000 (GMT) |

Dear David, Thanks - so are you suggesting that I should regress Y on each of the explanatory variables separately and look at the R2 in each case? Thanks, Alice. --- On Fri, 28/11/08, David Airey <david.airey@vanderbilt.edu> wrote: > From: David Airey <david.airey@vanderbilt.edu> > Subject: Re: st: Anova > To: statalist@hsphsun2.harvard.edu > Date: Friday, 28 November, 2008, 2:22 PM > This is true for balanced factorial ANOVA, but probably not > in your complicated model. > > For a given variable, why not look at adjusted R^2 with > that variable (or group of dummies if categorical) in an out > of a regression model? > > -Dave > > On Nov 28, 2008, at 7:08 AM, aapdm wrote: > > > Hi, > > > > I am trying to use the anova command but I am not sure > I am doing the right thing. > > > > I have a dependent variable Y which I explain by 10 > explanatory variables, half of which are categorical while > the others are continuous. > > > > When I use the anova command and specify which > variables are continuous, then I get a table with the > Partial SS for each of the explanatory variables. > > > > If I sum the Partial SS for all variables then this is > much smaller than the value reported for the Model SS. How > is that the case? What am I missing here? > > > > What I want to is to find to what extent each of the > different explanatory variables explains the variance of the > dependent variable, which should be given by the ratio > between the Partial SS of each variable and the total SS. Am > I right? > > > > Many thanks! > > > > Alice. > > > > > > > > > > > > > > * > > * For searches and help try: > > * http://www.stata.com/help.cgi?search > > * http://www.stata.com/support/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/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/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Anova***From:*David Airey <david.airey@vanderbilt.edu>

**References**:**Re: st: Anova***From:*David Airey <david.airey@vanderbilt.edu>

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