Answer: correlation vs. causation
Explanation:
Correlation assesses the relationship between variables and can be in the same direction, where the increase in one exists as the same time as an increase in the other variable or inverse where an increase in one variable occurs when there is a decrease in the second variable. However, this correlation does not indicate causation.
Causation signifies that one variable is responsible for the occurrence of an event in the other variable. Clearly, there is no cause and effect between the number of mules and doctorate degrees in a state. Here, there is a correlation but a fundamental causative factor is absent between the two events.
This question is really opinion based, but I would take it personal when things go wrong, since I start to think what I didn't or did do that made things go wrong.
<span>Literal or phonemic paraphasias</span>
Answer:
implementing a plan of explanation
