Comment by bsoles

Any two linearly increasing or decreasing datasets will be necessarily highly correlated. But that doesn't mean anything unless you also have a plausible explanation why it is so.

Also correlation is often taken to mean linear correlation. For example, you can have two nonlinearly varying dataset to be perfectly (rank) correlated while their linear correlation can be close to zero.

People often attach undue meaning to correlation.