Answer:
On USA testprep the answer is B)Causation implies correlation
Step-by-step explanation:
Correlation is the statistical relationship between two quantities. These can be two sets of measurements, or can be possible values of two random variables.
The strength of this correlation is expressed in a correlation coefficient. Correlation is not proof of causality, although it may be an indication of it.
In short, is a notion of connection which contradicts the independence of two or more variables.
The fact that two variables are “strongly correlated” does not demonstrate that there is a causal relationship between one and the other. Now, if the cause of the two variables is the same, then there will be a correlation between the two.
Learn more in https://brainly.com/question/15810179
