"What a stupid correlation," wrote one reader at our Green Inc. blog, where we took note of the research last Wednesday.
What makes a correlation causal?
Because we lack proper population samples in the present study, we could not formally test to what extent a correlation between genetic and geographic distance could explain our results (using for instance a Mantel test).
The problem was that it was just plain wrong — wrong about America after the war, wrong about what a debt-growth correlation means.
That's what statisticians call a correlation.
Researchers use what they call a correlation coefficient, a number that ranges from "+1," meaning that the two assets have perfect, or complete, correlation, to "-1," meaning that they have perfect inverse correlation.
It is currently unclear on what factors such a correlation depends, since many factors likely affect concentrations of cell-free miRNAs in plasma.
But the average wholesale price, or AWP, as it's known in the industry, may have little, if any, correlation with what a drugstore charges customers.
If, in an investigation of a disease, two sets of data show a correlation, what must a scientist do to establish that it was a change in one variable that led to a change in the other?
What they found is a correlation between solar wind streams and lightning rates.
All of the abovementioned activities are necessary for independent functioning as far as basic ADLs are concerned, in other words independence, what was confirmed by a correlation between the TUG test and ADL scores (r=0.2745; P=0.0280).
