Maths Tutorial: Pearson's correlation coefficient (statistics)
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- Опубликовано: 15 июл 2024
- VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the "r" value works and how to estimate an "r" value from a scatterplot.
For more tutes, visit www.vcefurthermaths.com
I HAVE LITERALLY GONE INSANE trying to understand this.
This video has been the clearest explanation on planet earth. I was in tears trying to read my book, listen to my instructor BABBLE and watch bad youtube vids.
thank you!
This is EXACTLY where I'm coming from as well. You pay for these damn lectures, tutorials and maybe textbooks, you waste all your time, and after all that you have to consult RUclips for clear and helpful explanations. Sometimes I wonder whether uni actually works...
I don't think you have "literarily gone insane" if you are still able to understand this video...
@@songa520 Something called exagerration :facepalm:
i guess im asking the wrong place but does any of you know of a way to log back into an instagram account?
I was dumb forgot my account password. I would appreciate any help you can offer me.
Same
You've taught me like a grade one student. Thank you. It is easy to understand
This was so easy to understand! thank you!!! I have to watch all your videos now! I was hoping to find someone that can explain stats/math with really good visuals and you nailed it!
These are the types of math videos that save so much time and stress, very straight and clear. Thank you so much!! 🤩❤️
THANKYOU SO MUCH! You explain complex topics so clearly and it's comforting hearing your humorous takes on such things! Thank you! Lots of love ❤
Thank you for this video, I spent a huge amount of time trying to figure out the linear correlation and coefficient r. I have a final test in few days this video has been very helpful !
Thank you so much! I have an online class that is requiring the calculation of Pearson's r for a research paper. Your video helped to simplify the process and I appreciate you for that..
Thanks!! That's high praise, because there are quite a few going around I've noticed. I'm glad you liked it!
This is an outstanding presentation of Pearson's Correlation Coefficient. Well thought out, easy to understand, consise. Thank you.
Thank you so much!!! I really struggled understanding this and you managed to explain it in the easiest way possible !
This has helped me so much. By far the best video explaining this. THANK YOU!
Outstanding! You explained this so well. I didn't understand this before watching your video. Thanks!
Hey thanks for the nice comment :) I'm glad it was helpful!
Dear friend,
I think I am becoming your follower.
All times I need to learn some statistics, you have a video with a very good explanation.
Thank you. Ivan Castilla
one of the best videos here explaining pearson's
Honestly, I always check Further Maths first, and then I dive into the textbook. Success guaranteed!
I just found this video in 2021 and it is the best explanation of r value anywhere. Thank you Thank you Thank you!! I now have a chance of actually passing this class.❤🙏🙏
Excellent explanation of R value ! The presenter has a wonderful voice :)
I dont understand why anybody would vote down this tutorial. It is simplified and she explained it well. If you are not into Stat, blame yourself!
Thank you so much for making this video. It help me so much on understanding the Pearson R for my Board Examination of Psychometrician.
I never realised that the r value I always see in graphs is the same thing as a Pearson's correlation coefficient. Thank you for the clarification!
TOTALLY INSANE!!!!!!!!
This 13minute video summarized my three hour lecture
brilliant explanation - saved me A TON OF time!
Thanks Marina, I'm glad you found it helpful
Your vids are excellent. So clear! Thanks so much 😊
You explain this so easily, thank you so much
Amazing video! Thank you so much!
What a way to understanding. An excellent video.
This was a very good tutorial. Thank you!
This is a gem for me thank you so much!
Thanks Eve, glad you liked it :)
IT 'S CLEAR AND SIMPLE , THANXXXXX
Excellent explanation! And you have a beautiful voice :)
you are an explanation machine !! thanks
Very easily to understand Thank you!! :D
This is an awesome video! Thank you!
Thank You Very much.You have explained the theory very well,making it so simple
thank you so much!! this is so clear and easy to follow!
Wonderfully done!
Helped A ton!!! Thank you.💙🙏🏽.
Thank you very much. Perfectly explained.
Thank you this helped alot and I also love your acent❤
Fantastic explanation
A great explenation! thank you so much!
I enjoyed the nice accent!! Thanks for the video AND the sound!
but how do u figure an exact number for a question on a test?
Good explanation, your helping a lot of students.
thanks this was SO HELPFUL
Good video, thank you, a nice introduction!
You rock! Thank you so much!! God Bless You!!!
The best explanation!
Wawoo , I have understood this to my best. Thanks.
thanks you, it is helpful~ and your explanation is very clear
Thank you for your great effort
your explanation is awesome thank you sensei lol
It is so important to stress the fine print. If r is small, it does not mean that there is no relationship. It means that there is no LINEAR relationship. It is so important to hammer this down on students and instructors alike.
really good video, very helpful. thank you
Thank you for this video.
you da real mvp
Thank you very much! This is awesome!
THANKS. GLAD YOU LIKE IT :)
great tutorial, thanks
thankk you so much you make it very very simple .. and i really got it
Thank you very much!
great explanation
Peahson's Ah...thanks so much! Very helpful! :D
You're very welcome! :)
You forgot about one very important thing here, which is saying to your audience: correlations do NOT indicate casual relationships. When you talk about dependent and independent variables you do suggest that such causal relationship exists. I would rather talk about variable X1 and variable X2 instead of X (independent variable) and Y (dependent variable).
Thanks for this!!!
OMG OMG OMG I GET IT! This video helped me so much. Thank you.
Yay!! :) Thanks - that means a lot!
:) you are awesome! Thank you so much!
✨⭐️🌟”THANK YOU”🌟 ⭐️✨
VERY WELL PRESENTED
This was too easy to grasp thankss a lottt if i had a teacher like u I would never miss school n who knows may I would even love math 🤣
You're very welcome :)
This was really helpful, more so than my teacher
Good stuff
Thanks for the explanation! I want to calculate the correlation between many factors which I enter daily in an android app called Correlator, and I need to understand the difference between single correlation and multiple correlation which the app is showing to me... which one is better if I want to find the most correlated variable?
Thanks!! Please do! My piddly little view count on this one makes me think it's not the best video haha. Glad you found it helpful though!! :)
thank you!
thank you so much
Not sure what you mean... Are you asking what software I use? It's a whole bunch of things. I'm using a wacom tablet to input (instead of a mouse). I'm using a free drawing program called SmoothDraw, it's a bit like Microsoft Paint but a bit more functionality. And then I'm capturing my screen with Camtasia screencasting software. So it's not an "elearning tool" as such, it's more a hodgepodge of programs that help me put it all together.
Thank you
Thank you so much , 😊😊😊 keep it on।
Perfect
you gave me a mini heart attack at 8:35...
Epic. Tyvm
thank you :)
"just use your calculator" haha ^^
"Outliers - those hinky little buggers".... ha ha ha. Thanks for the nice explanation, very helpful :)
Thanks
You're sweet :) Glad you liked it!!
ty
Where can I find the all data analysis remaining tutorials
can you give me a reference that I may site when I write it in my paper?
this awesome.....no more question
if my computed value is -2.23< tabled value 2.5, what is the findings?
Hi,
Really like your e learning tool...what is it?
I believe it should be Sy instead of Yx at 8:37.... My question is , what do they (Sx and Sy) stand for???