By Dr. Jamis Perrett
Regulatory Science Statistics Center
As both a statistician and adjunct statistics professor I occasionally come across “studies” that have misused data and reached inaccurate conclusions by graphing what appears to be a cause and effect relationship between two variables.
Unfortunately, it is not difficult to show a trend (correlation) by graphing data and then lead the reader to the impression that a cause-and-effect relationship exists – or that one of the variables in some way influenced the other variable (causation). While causation is certainly true in some situations, there are many instances where the apparent causal … Full Article »