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multiple regression - what to report, aid to interpreting the role of the ivs in the regeression equation , teh beta weights help us understand teh importance of an iv, relative to the other ivs, but it isnot a measure of the unique variance explained, multiple regresson - what to report?, all variables means and standard deviations, recomend presenting partial (semi-partial) corerlations s , bivariate correlations of all variables (iv and dv) , total variability is consistently the total sum of squares aroudn the dv , unique variablity contriburted by that iv in the regression equation , explains unique variance n iv, remove overlap from ivs only, remove overalp from ivs and dvs , recomend reporting standardiized and unstandardized regression coefficietns adn teh standard error fo the unstandardized coefficcient, semipartial represetns the amoutn by which r^2 would be reduced if that variablee were removed from tehe regression equation