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This is probably very straightforward, but why don't R2 and error equate to 100%? If I input: TITLE: preliminary play; DATA: FILE IS martin.dat; VARIABLE: NAMES ARE Beh INt Att SN3 SN2 SID Mnm SEf PBC AffN AnR Fam Aff2; USEVARIABLES ARE Beh INt att mnm affn sn3 SID anr sef; CATEGORICAL IS beh; MODEL: beh on int; int ON att sn3 sid sef anr; att on affn mnm sef sid; output: MODINDICES(0) standardized; savedata: DIFFTEST IS Francebase.dat; The residual variances I get are: INT 0.364 ATT 0.445 and the RSquares are: RSQUARE Observed Residual Variable Variance RSquare BEH 0.742 0.703 INT 0.861 ATT 0.512 So with Beh (for example) how does the residual variance related to RSquare? Any help much appreciated. 


They sum to 1 only when you consider the residual variances in the standardized version. 


Thank you for that  it makes sense now. Regards Barbara 

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