Total effect of X on Y under presence of interaction effects

This is what I believe is referred to as "supression" in regression, where
the correlation correlation between the independent and the dependent
variable turns out to be of one sign whereas the regression coefficient
turns out to be of the opposite sign. 

Read here about supression:

http://www.uvm.edu/~dhowell/gradstat/psych341/lectures/MultipleRegression/multreg3.html

HTH



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