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!

Administrative Note:

We would very much like to help you with your query, however the thread title does not really convey what your request is about.

Please take a moment to amend your thread title. Make sure that the title properly explains your request. Your title should be explicit and not be generic (this includes function names used without an indication of what you are trying to achieve).

Please see Forum Rule #1 about proper thread titles and adjust accordingly. To edit the thread title, open the original post to edit and then click on Go Advanced (bottom right) to access the area where you can edit your title.

(Note: this change is not optional. No help to be offered until this moderation request has been fulfilled.)