A perfect positive correlation:
A) is statistically impossible.
B) would mean that every time Factor A occurred, Factor B also occurred.
C) would mean that Factor A caused Factor B to occur.
D) would mean that every time Factor A occurred, Factor B did not occur.

Question

Quizplus · Accepted Answer

A perfect positive correlation means that for every increase in Factor A, there is an equal increase in Factor B, and vice versa. This does not necessarily mean that one factor causes the other, but there is a strong relationship between them. It is statistically possible for a perfect positive correlation to occur, although it is rare. Option A is incorrect and misleading, as perfect positive correlation is a statistical possibility in certain circumstances. Option C is incorrect as correlation does not imply causation. Option D is incorrect, as a "perfect positive correlation" is defined as an association where when Factor A increases, Factor B also increases- thus it is impossible for Factor A and B to occur independently in such a case.

A Perfect Positive Correlation