2014-Sep-25, 17:45:04

"Are some predictors just generally better at predicting than others, or is there an interaction effect between predictor and variables? An example of an interaction effect would be that Islam is better than IQ as predicting crime, while IQ is better at predicting educational attainment."

Interaction in regression analysis means that the predictor variables interact non-additively. For example, if the relation between predictor A and outcome variable Y varies at different levels of predictor B, then there's A x B interaction. Interaction means that aside from the additive main effects of the predictors there are interactive effects between them. To say that there is an interaction between predictor and outcome variables is a misuse of terminology.

You should include also predictor intercorrelations in Table 2 (below the diagonal) because reporting just the correlations between the "prediction vectors" is confusing.

Interaction in regression analysis means that the predictor variables interact non-additively. For example, if the relation between predictor A and outcome variable Y varies at different levels of predictor B, then there's A x B interaction. Interaction means that aside from the additive main effects of the predictors there are interactive effects between them. To say that there is an interaction between predictor and outcome variables is a misuse of terminology.

You should include also predictor intercorrelations in Table 2 (below the diagonal) because reporting just the correlations between the "prediction vectors" is confusing.