Answer:
A
Explanation:
Correlation shows the association between two variables for example x and y. A positive correlation means as x increases or decreases y equally increases or decreases while a negative correlation means as x increases, y decreases vice versa with correlation coefficient r between -1 ≤ r ≤ 1. Correlation with coefficient zero shows not relation with the two variables. As r approaches 1 the correlation approaches perfect positive correlation while as r approaches -1 the correlation approaches perfect negative correlation.
Correlation only show association but not tell whether x causes y or the situation is cause by some unseen third factor.
