Successful prediction of consequences / effects depends
on the recognition of the causes / factors contributing
to the system being predicted.
Many researchers stop shut at correlation coefficients
because the regression statistics they obtain from their data
looks unreal and they could not find alternative explanation
to the results. But knowing what to do and how to do
it even with a simple tool like Ms. Excel when such opportunity
presents itself will enable researchers obtain further
explanations on causes and effect variables and may therefore
encourage further research.