Pearson FX & Time Series Data

Hi,

Having begun intense efforts to pass one last milestone for a Master's Degree by finishing my thesis, I've become hopelessly stuck on Pearson's R coefficients. Esp. as it relates to times and dates. Below is an example to illustrate the scenario where I must evaluate 3 unique variables to assess how, if and why they correlate. My issue now is figuring out how numerical values that indicate time slots by hourly blocks may imply significance that varies for each day of the week and/or total number of transactions. DIY 'play' exercises show that changing specific values listed below "HOUR" column affects the PEARSON Fx result. But why? Does PEARSON Fx output reflect a positive relation between later hours and greater revenue listed in adjacent cells on each row that are labeled as weekdays? Or, vice-versa? Or, nothing at all? Since .59 does fall midway between 0 and 1, it would seem to have some meaning. Please clarify. Thanks in advance!