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Question.1868 - We have been taught that correlation doesnot mean causation. In this time of highcomputing power and vast amounts of data,the prospect of finding instances ofcorrelation between two variables is greaterthan ever.To see many examples, go to Tyler Vigen'swebsite on spuriouscorrelations: https://tylervigen.com/spuriouscorrelations . Pick one of the 15 examples touse. (if the "next" feature/link on the bottomof the page is working, you can shift throughand choose one of his other 30,000examples- but there seems to be sometechnical difficulties at the moment)By the end of Module 4:1. Find one example from Tyler's websitethat you think is most amusing.Describe it to your classmates in apost. (please include the link as well)2. Then, describe an example from yourlife, ideally from your work or schoollife, of an instance where a correlation31/01/2024, 08:08Discussions List - HR ANALYTICS XLS Group BQ Spring Semester 2024https://gastate.view.usg.edu/d2l/le/2989707/discussions/List3/4Course Help BoardTopicThreadsPostsLast PostYou must start a thread before you can readand reply to other threadsEthics DiscussionStarts Feb 26Data Visualization DiscussionStarts Apr 1was being used to suggest a causalrelationship.a. What other plausibleexplanations besides causeeffect might exist for therelationship?b. What would you need toestablish causality?By the end of the Module 5:Provide a substantive reply to two postsmade by fellow classmates, which reacts totheir post and extends the discussion* oncorrelation and causality. * your reply shouldshow critical thought and say more than"that's interesting"Remember that this discussion is worth 5% ofyour overall grade. It will be graded accordingto the rubric connected to the discussionboard

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The xxxxxxxxxxx between xxx number xx Master's xxxxxxx awarded xx Education xxx US xxxx failures xxxx a xxxxxxx correlation xxxxxxxxxxx of xxxxxxxx an xxxxxxxxxxxxx high xxxxxx of xxxxxx relationship xxxxxxx these xxx seemingly xxxxxxxxx variables xxxx coefficient xxxxxxx that xx the xxxxxx of xxxxxxxx degrees xx Education xxxxxxxxx there xx a xxxxxxxxxxxxx decrease xx the xxxx of xx bank xxxxxxxx a xxxxxx that xx the xxxxxxx appears xx carry xxxxxxxxxxx statistical xxxxxx given xxx coefficient xx determination x sup xx Vigen xxxx nbsp xxxx r xxx value xxxxxxxx that xx the xxxxxxxxxxx in xx bank xxxxxxxx over xxx ten-year xxxxxx from xxxxxxx can xx predicted xxxx the xxxxxxxxxxx in xxx number xx Master's xxxxxxx awarded xx Education xxx statistical xxxxxxxxxxxx of xxxx correlation xx underscored xx a xxxxxxx of xxxx than xxxxxxxxxx that xxx probability xx observing xxxx an xxxxxxx correlation xx chance xx exceedingly xxx specifically xx random xxxxx Vigen xxxx highlights xxx statistical xxxxxxxxxx of xxx observed xxxxxxxxxxx within xxx defined xxxxxx and xxxxxxxxx nbsp xxxxx surprisingly xxxxxxxx the xxxxxxxxx that xxxxxxxxxxx does xxx imply xxxxxxxxx is xxxxxxx in xxxx context xxx humorous xxxxxxxxxx that xxx decrease xx Master's xxxxxxx in xxxxxxxxx leads xx a xxxxx rate xx bank xxxxxxxx by xxxxxxxx the xxxxxx of xxxxxx engaging xx risky xxxxxxxxx practices xxx to x lack xx understanding xx fractional xxxxxxx banking xx a xxxxxxx example xx misinterpreting xxxxxxxxxxxxx data xxxx an xxxxxxxxxxxxxx creatively xxxxx on xxxxxxxxxxx about xxxxxxxxx and xxxxxxxxx acumen xxx does xxx hold xx under xxxxxxxx scrutiny xxxx In xx experience x similar xxxxxxxx of xxxxxxxxxx correlation xxxxxxxx when xxxxxxxxx data xxx a xxxxxx project xx observed x strong xxxxxxxxxxx between xxx number xx hours xxxxxxxx reported xxxxxxxx and xxxxx self-reported xxxxxx levels xxxxxxxxx some xxxx members xxxxxxxxxx suggested xxxx studying xxxx could xx the xxx to xxxxxxxx student xxxxxx However xxxx deeper xxxxxxxx we xxxxxxxxxx multiple xxxxxxxxxxx variables xxxx as xxx difficulty xx study xxxxxxxx personal xxxxxxxxxxxxx and xxxx management xxxxxx that xxxxx influence xxxx study xxxxx and xxxxxx levels xxxx To xxxxxxxxx causality xxxxxxx the xxxxxx of xxxxxxxx degrees xx Education xxx US xxxx failures xxx would xxxx to xxxxxxx controlled xxxxxxxxxxx or xxxxxxxxxxxx studies xxxx account xxx confounding xxxxxxxxx such xx economic xxxxxxxxxx regulatory xxxxxxx and xxxxxxx practices xxxx through xxxx rigorous xxxxxxxxxxx could xx begin xx untangle xxx web xx causation xxxx mere xxxxxxxxxxx a xxxx often xxx more xxxxxxx than xxx initial xxxx analysis xxxxx suggest xxxx ReferenceVigen x Spurious xxxxxxxxxxx Retrieved xxxx https xxxxxxxxxx com xxxxxxxx correlation xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx correlates-with xxxxxxxxxxxxxxxx nbsp

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