Pearson Correlation Explained (Inc. Test Assumptions)

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
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[@StevenBradburn]

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

[@texaspolygraph]

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

[@rajashreen3723]

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

[@mariedavis5885]

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

[@emmanuelaberikae3788]

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

[@RicanZouki76]

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

[@denisprinceofpersia]

Absolutely best explanation !!!!

[@chimakingsleyezeokoli3249]

Just what I need. Thanks alot

[@rizuri789]

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

[@TheSamarra15]

Very well explained; thanks.

[@christinderetich509]

Great video! Thank you!!!

[@ofirshorshy8281]

Thank you this is amazing and so informative

[@user-ln9pk7uc8f]

Great video! Thanks! 😄

[@calvinc1151]

Thank you so much for this

[@ASMM1981EGY]

Thank you so much indeed from EGYPT

[@barbararkrammer5445]

Very good video. Greetings from Brasil!

[@dananjanirathnayake8653]

Thank you very much. This helps a lot

[@StevenBradburn]

Very welcome

[@evagzardkorir7527]

Very informative!

[@ushansakuntha5998]

very good video.Thank You

[@mcdonald6284]

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

[@Inga-cg9pv]

thank you!!!😊

[@Libertoso]

Thank you

[@masoking2005]

Great video BRO

[@putimaulida4880]

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"

[@devakithankam3720]

very good

[@putimaulida4880]

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

[@brazilfootball]

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

[@the.believer.dailyx]

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

[@Death_User666]

keep posting

[@aqsaanees4319]

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

[@johnchristianmiranda7148]

better than my teacher

[@chicagogirl9862]

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

[@yashgoyal7674]

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

[@exam_prep_cat5605]

anova

[@stumccabe]

"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.