The relationship between three visual representations of multidimensional data and the subjects’ ability to make predictions based on the data was investigated. The visualizations were based on the simulated output of a momentum accounting system. Subjects made predictions based on the visualizations. The subjects using a rotatable three-dimensional image were found to provide the most accurate predictions. The subjects using a two dimensional representation were found to take the least amount of time for their predictions.