Malik -
"It all depends." But here are some comments.
First, Look At The Data. Create an XY (Scatter) chart. The correlation
coefficient measures the extent of linear relationship. It's not appropriate
for nonlinear relationships.
Second, if you're a classical statistician, take the sample size into
account. If you have a random sample and if you're really a frequentist, you
can even perform a hypothesis test to investigate whether the observed
correlation coefficient is significantly different from zero (or from some
other value).
Third, the value that is "taken seriously" varies from one discipline to
another. In psychology, you might be satisfied with r = 0.3. In economics,
you might want to see r = 0.9 or higher.
- Mike Middleton
http://www.DecisionToolworks.com
Decision Analysis Add-ins for Excel