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> The correlation of rate of lovemaking minus rate of arguments with these ratings of marital happi- ness was .40 ( p < . 0 5 ) ; neither variable alone was significant.

Which is why it can be important to include interactions to your linear models, which would most probably have resolved this. This also allows better quantification of individual and joint effects than handcrafting composite variables (as far as your sample size etc allows it).



In this example, what would "including interactions" look like?




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