Positive correlation
One variable increases other variables increase
Negative correlation
One variable increases other variables decrease
No correlation
No relationship between the two variables
Correlation evaluation
(+) establish strength of relationship between two variables
(+) investigate things that can’t be manipulated experimentally
(+) once correlation has been conducted predictions can be made
(-) can’t demonstrate cause and effect
(-) may not be correlation between two variables but a third unknown influences both
(-) doesn’t detect curvilinear relationships