Dear folks, I am studying the relationship between EQ and job success (JB). I also want to know which of the subscales of EQ is a better predictor of JB. I think I should use multiple regression. My colleague, however, says there is no need to take the trouble and complexities of regression. We can simply correlate each subscale of EQ with JB separately and compare the correlations. He believes that the subscale that has the highest correlation with JB will also turn out to be its best predictor in regression analysis. And that regression is an unnecessary and useless statistical development. There is nothing regression does that correlation cannot do!!! I cant think of anything to justify the superiority of regression over correlation here. Can you please help me justify it? Cheers Humphrey |
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