Pearson Correlation Explained (Inc. Test Assumptions)

แชร์
ฝัง
  • เผยแพร่เมื่อ 18 มิ.ย. 2024
  • In this video tutorial, I’m going to clearly explain the Pearson correlation test. I will not be covering the detailed maths involved in the test, but instead provide a gentle introduction as to what a Pearson correlation test is. I will also discuss the Pearson correlation test assumptions.
    The take home message is that a Pearson correlation test measures how the direction and how strong a linear correlation is between two continuous variables.
    Pearson correlation explained: 00:48
    Pearson correlation assumptions: 09:10
    THE ONLINE GUIDE
    toptipbio.com/what-is-pearson...
    HOW I CREATED THIS TUTORIAL (AFFILIATE LINKS)
    Laptop amzn.to/38bB7JG
    Microphone amzn.to/2OFn1sd
    Screen recorder & editor techsmith.z6rjha.net/c/198849...
    TH-cam SEO www.tubebuddy.com/SHTeach
    Software (Microsoft PowerPoint 365 ProPlus)
    FOLLOW US
    Website toptipbio.com/
    Facebook / toptipbio
    Twitter / toptipbio
    AFFILIATE DISCLAIMER
    Top Tip Bio is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to www.amazon.com. We will earn a commission from Amazon if a purchase is made through the affiliate links.
  • แนวปฏิบัติและการใช้ชีวิต

ความคิดเห็น • 36

  • @StevenBradburn
    @StevenBradburn  4 ปีที่แล้ว +4

    THE ONLINE GUIDE
    toptipbio.com/what-is-pearson-correlation/

  • @texaspolygraph
    @texaspolygraph 4 ปีที่แล้ว +4

    Another excellent tutorial from Top Tip. Explained in and easy to understand manner with excellent examples.

  • @rajashreen3723
    @rajashreen3723 2 ปีที่แล้ว +3

    Thank you. I am a beginner in Statistics and your tutorials are very helpful. Keep up the good work.

  • @mariedavis5885
    @mariedavis5885 3 ปีที่แล้ว

    Very good video, clear and simple to understand! Thank you!

  • @emmanuelaberikae3788
    @emmanuelaberikae3788 ปีที่แล้ว

    I appreciate the lesson; your explanation helped me understand the Pearson correlation.

  • @RicanZouki76
    @RicanZouki76 6 หลายเดือนก่อน

    I like your video, trying to find one that explains in layman’s terms, was a challenge to find. So thank you!

  • @denisprinceofpersia
    @denisprinceofpersia 2 ปีที่แล้ว

    Absolutely best explanation !!!!

  • @chimakingsleyezeokoli3249
    @chimakingsleyezeokoli3249 ปีที่แล้ว +1

    Just what I need. Thanks alot

  • @rizuri789
    @rizuri789 2 ปีที่แล้ว

    thank you for the video, i learn a lot from you

  • @TheSamarra15
    @TheSamarra15 ปีที่แล้ว

    Very well explained; thanks.

  • @christinderetich509
    @christinderetich509 2 ปีที่แล้ว

    Great video! Thank you!!!

  • @user-ln9pk7uc8f
    @user-ln9pk7uc8f ปีที่แล้ว

    Great video! Thanks! 😄

  • @ofirshorshy8281
    @ofirshorshy8281 3 หลายเดือนก่อน

    Thank you this is amazing and so informative

  • @evagzardkorir7527
    @evagzardkorir7527 2 ปีที่แล้ว

    Very informative!

  • @calvinc1151
    @calvinc1151 ปีที่แล้ว

    Thank you so much for this

  • @mcdonald6284
    @mcdonald6284 ปีที่แล้ว

    Thank you so much, I have subscribed to your channel.

  • @ushansakuntha5998
    @ushansakuntha5998 2 ปีที่แล้ว

    very good video.Thank You

  • @barbararkrammer5445
    @barbararkrammer5445 ปีที่แล้ว

    Very good video. Greetings from Brasil!

  • @Inga-cg9pv
    @Inga-cg9pv 5 หลายเดือนก่อน

    thank you!!!😊

  • @ASMM1981EGY
    @ASMM1981EGY ปีที่แล้ว +1

    Thank you so much indeed from EGYPT

  • @dananjanirathnayake8653
    @dananjanirathnayake8653 3 ปีที่แล้ว +1

    Thank you very much. This helps a lot

  • @masoking2005
    @masoking2005 3 ปีที่แล้ว

    Great video BRO

  • @Libertoso
    @Libertoso ปีที่แล้ว

    Thank you

  • @devakithankam3720
    @devakithankam3720 2 ปีที่แล้ว

    very good

  • @putimaulida4880
    @putimaulida4880 ปีที่แล้ว

    may I ask, are all pearson correlation always reciprocal? from the example you mentioned, can the response variable be an explanatory variable, and vice versa?
    I ask because it's a bit confusing to differentiate "correlation association" and "regression"

  • @Death_User666
    @Death_User666 2 ปีที่แล้ว

    keep posting

  • @johnchristianmiranda7148
    @johnchristianmiranda7148 7 หลายเดือนก่อน

    better than my teacher

  • @brazilfootball
    @brazilfootball 2 ปีที่แล้ว

    Would we say the density of predators and prey be considered dependent observations?

  • @putimaulida4880
    @putimaulida4880 ปีที่แล้ว

    is there a what so called independent or dependent variable to do pearson correlation?

  • @the.believer.dailyx
    @the.believer.dailyx 3 ปีที่แล้ว

    i don't know why i understand the topic more when top top bio discuss it compared to my professors

  • @aqsaanees4319
    @aqsaanees4319 4 ปีที่แล้ว +1

    well covered and detail description
    kindly explain how to test these assumption using spss

  • @chicagogirl9862
    @chicagogirl9862 2 ปีที่แล้ว

    As you insisted on subscribing, I did it:))

  • @yashgoyal7674
    @yashgoyal7674 4 ปีที่แล้ว +1

    Hi, I am a doctor and doing MD, for my thesis work I need your help, I have 2 diseases- D1 & D2, and one medicine- M, each disease contains 20 patients. My objective is :- 1) To find the effect of M on D1. 2) To find the effect of M on D2. 3) To compare the effect of M in D1 & D2. For this which test is required and how to calculate on excel 2007, Thanks

  • @stumccabe
    @stumccabe 2 ปีที่แล้ว +1

    "Axes" is the plural of "axis". So one should say "x axis" and "y axis", not "x axes" etc.
    Apart from that pedantic criticism, your explanation was very clear. Thank you.