Miller has a couple of research assistants rate the physical attractiveness of each of the participants in his bar study.

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1. Dr. Miller has a couple of research assistants rate the physical attractiveness of each of the participants in his bar study. Miller wants to know if differences in physical attractiveness might offer an alternative explanation of why some people are more confident than others. Perhaps more attractive people are more confident and also drink more beer. Miller combines the data, that is, the average of his raters’ attractiveness ratings along with the number of beers consumed, in a multiple regression equation. He finds that the beta weights for attractiveness and beers consumed are .25 and .39, respectively, and that both are significant at the .01 level (that level is a p value, not a blood alcohol level). What should Dr. Miller conclude about the apparent effects of attractiveness and beer? (2 points for each variable). Do his results suggest that he can rule out attractiveness as a third variable explanation of the effects of beer?

What should Dr. Miller Conclude?

Attractiveness:

Beer:

Does his results suggest that he can rule out attractiveness as a third variable explanation?

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