Judging the Relatedness of Variables: The Psychophysics of Covariation Detection


Previous research on how people judge the relation between continuous variables has indicated that judgments of scatterplots are curvilinearly related to Pearson's correlation coefficient. In this article, we argue that because Pearson's correlation is composed of three distinct components (slope, error variance, and variance of A") it is better to look at… (More)


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Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

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