Correlation refers to a measure of how strongly two or more variables are related each other.
ASSOCIATION DOES NOT MEAN CAUSATION.
E.g. There is almost certainly a very high positive correlation between the length of people's right arm and the length of their left arm. But the length of a person's left arm did not determine the length of their right arm. They are both determined by other factors i.e genetics, diet etc.
Correlation coefficient refers to a number between -1 and +1 and states how strong correlation is. If the number is close to +1 then there is a positive correlation. If the number if close to -1 then there is a negative correlation. If the number is close to 0 then the variables are uncorrelated.
Correlational hypotheses predict a relationship between variables, not a difference or effect.
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