NOTE: Although I do not mention it by name in the video, this StatQuest covers Pearson's Correlation Coefficient. Unfortunately, this did not occur to me until after I posted the video, otherwise I would have mentioned it at least 20 times...so maybe it's better the way it turned out. ;) Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
@sunilkumarsamji8507
4 жыл бұрын
Hi Josh Thanks a lot for the wonderful work. it helps learners a lot. My query: At 9 : 08, it is mentioned p = 2.2 * 10 ^ -16 means low probability that a randomly selected point has similarly strong relationship. Does it mean to say that the hypothesis or prediction (line through the data points) of the trend cannot generalize with respect new data point a randomly selected data point? Is that what a low p means to say? At the same time a low p means high confidence level in the trend which means that high confidence level implies that a randomly selected that will have similarly stronger relationship? Let me please know if I am missing some point.
@statquest
4 жыл бұрын
@@sunilkumarsamji8507 No. The p-value tells us that the probability that random noise could create the relationship we observed, or a stronger relationship. When you have small p-value, that means the probability that the relationship we observed is due to noise is small. This means we can have confidence that new observations will behave similarly to what we have seen before, rather than completely randomly. Does that make sense?
@inderjeetsinghintech
4 жыл бұрын
@@statquest yes, that is the reason we keep the threshold to only 5% or 0.05.
@lorisbach9905
3 жыл бұрын
@@statquest Thanks for your amazing videos. I am watchng them all to try to catch up in statistics for my master degree in geology. In this video, I am unsure on how you calculated the p-values. Can you please explain a little ?
@statquest
3 жыл бұрын
@@lorisbach9905 Unfortunately, I don't have a video that explains the p-values for Pearson's correlation coefficient in detail. However, I do have a video that explains the p-value for R-squared, which is very, very closely related (and is actually much more useful) here: kzitem.info/news/bejne/z6FoqYV_jZ-QmKQ
@SumitOli007
3 жыл бұрын
I am crying rn, Statistics was the one thing that scared me in high school, never studied it in engineering & after watching tons of videos & losing hope. I finally found your channel. I am finally understanding bits and bytes of statistics & I owe everything to this beautiful pedagogy Infinite BAM
@statquest
3 жыл бұрын
Hooray! I'm glad my videos are helpful. :)
@bigorange6328
5 жыл бұрын
My days spent on statistics before knowing statquest were so wasted
@statquest
5 жыл бұрын
Wow! I'm glad you like my videos! :)
@ThinkwithLex
10 ай бұрын
I can relate
@kantaphongsaklo102
9 ай бұрын
Same
@ahaha731
4 ай бұрын
Same
@bartgacrama2295
5 жыл бұрын
You are a genius in pedagogy.
@statquest
5 жыл бұрын
Thank you! :)
@anitapallenberg80
4 жыл бұрын
100 % agree! I love StatQuest with Josh Starmer!! ♥
@vikranttyagiRN
4 жыл бұрын
@@anitapallenberg80 Me too. Alot
@Cat99
3 жыл бұрын
Simple, easy to understand.
@alberttamazyan
5 жыл бұрын
I am so thankful to you!!! I tried learning statistics multiple times in my life and never succeded with any source. I discovered your stat quests about a week ago and I already feel so comfortable with many concepts in statistics! Huge thanks.
@statquest
5 жыл бұрын
That's awesome! I'm glad the videos are helpful. :)
@mathavraj9662
3 жыл бұрын
As soon as I started the video, the differences between r-square, covariance and correlation were lingering in my mind. Glad you cleared them all!!
@statquest
3 жыл бұрын
Glad it was helpful!
@TheCJD89
5 жыл бұрын
I just watched the Covariance and Correlation videos back to back. Very well put together and really easy to follow
@statquest
5 жыл бұрын
Thank you! :)
@bubbleworld4172
5 жыл бұрын
Appreciative bäm from Germany.
@statquest
5 жыл бұрын
That's awesome! I'm glad Bam has an umlaut in German. ;) That makes it twice as cool. TWICE BÄM!
@blakebodycote1024
Жыл бұрын
I have yet to get into most of these concepts in my statistics major, but I am so thankful to have these bite-sized informational videos with lots of visual explanations to explain each concept so I can start practicing and studying machine learning early. Thank you so much for every single video you put out. Truly a blessing.
@statquest
Жыл бұрын
Thank you very much! :)
@Alchemist10241
Жыл бұрын
I've added this channels videos to my Anki cards and every time I review them I get even deeper insights. well done statquest
@statquest
Жыл бұрын
bam! :)
@allthingsconsdrble
8 ай бұрын
Very much appreciate the crawl, walk, run approach with emphasis on conceptual understanding
@statquest
8 ай бұрын
Thank you!
@drditup
3 жыл бұрын
you just explained this better than i ever heard. im a phd student (who for some reason wasn't given a decent statscourse through his master degree in robotics engineering. Needless to say, statistics are good for science)
@statquest
3 жыл бұрын
Thank you! :)
@BatkhuuByambajav
2 жыл бұрын
Bam Bam BAM... Eventually, I've fallen in love with your BAMs :) Addictive BAMs and gorgeously simple videos! Thanks a lot!
@statquest
2 жыл бұрын
Thanks!
@CamilaMachadodeAraújo
Жыл бұрын
Ohhh man!!! I'm instantly falling in love with this channel, definitly the best sense of humor to learn machine learning.
@statquest
Жыл бұрын
Thanks! :)
@arnabchanda2609
4 жыл бұрын
All My Life I have been looking out for you, glad that I found you... BAM!!!
@statquest
4 жыл бұрын
Hooray! :)
@mostinho7
2 жыл бұрын
Thanks! Great summary at 9:00 Correlation strength nothing to do with slope, but with how many points the line goes through. Can have correlation of 1 with large slope or small slope as long as the points lie on a line. 14:00 equation cov(x,y) in previous video
@statquest
2 жыл бұрын
bam!
@2002budokan
4 жыл бұрын
I find the best and non-boring stats explanations in this channel.
@statquest
4 жыл бұрын
BAM! :)
@wernhervonbraun4222
3 жыл бұрын
I'm very grateful to all of your videos. I want to support you but I am a student in 3rd world country. Even I get capable enough I'll surely contribute to this great project! Thank you
@statquest
3 жыл бұрын
Thank you very much! BAM! :)
@user-np6jw1xw3f
2 ай бұрын
I just learn to my exam in two days with your videos ! You are awesome man keep going ! thank you !
@statquest
2 ай бұрын
Best of luck!
@zumiao234
4 жыл бұрын
Thank you! You actually help me to understand many basic concepts in a clear and easy-acceptable way, you are so smart and kind-hearted.
@statquest
4 жыл бұрын
Thank you very much! :)
@LOVEONLYLOVEable
4 жыл бұрын
If anyone finds a better teacher than this guy on you tube, do let me know 😎😎
@delliscool4924
6 ай бұрын
thank you , you are distinguished brilliant mind and great teacher for many
@statquest
6 ай бұрын
Wow, thank you!
@vedprakash-bw2ms
5 жыл бұрын
Stat quest is the best ..
@statquest
5 жыл бұрын
Thanks! :)
@jammabeergood
4 жыл бұрын
Great rhyme!
@수삼블-q9n
3 жыл бұрын
Bam....I started to think that statistics can be fun....Huge thanks from Korea
@statquest
3 жыл бұрын
Hooray!!!
@calciumfree9626
4 жыл бұрын
Big thanks! I couldn't get any intuition from my school lecture, and it's lucky for me to find this video a day before my exam for this!
@statquest
4 жыл бұрын
Good luck on your exam! :)
@shubhamjain2423
3 жыл бұрын
Dear Josh, This video made my endless nights trying to grasp on this topic.
@statquest
3 жыл бұрын
:)
@thesagecc
2 жыл бұрын
As a graduate level I-O Psychology student.... thank you... I watched the summary first and then went back to watch the entire video
@statquest
2 жыл бұрын
bam!
@OlegGolubev_yolo
Жыл бұрын
How good you r at this. I tried really hard to understand what it this when i've been in university. but failed. Because there was no explanation why we need this. Only the words that it is "how x related to y"... I figured out what is it actually only 7 years later... Thanks a lot man
@statquest
Жыл бұрын
Happy to help! :)
@reach2puneeths
5 жыл бұрын
These are the best videos which explains the concept in simple way. Thanks for making these videos. Please upload Al and deep learning videos.
@amizan23
3 жыл бұрын
Your videos are way better than most of the paid courses.
@statquest
3 жыл бұрын
:)
@YeekyYeeky
4 жыл бұрын
your video makes it really easy to understand(even my english is not really strong , I can still understand almost all of them) , thank you from Thailand
@statquest
4 жыл бұрын
Hooray! I'm glad you like my videos. :)
@Some_random_guy_16
4 жыл бұрын
you are doing a great job enabling us to learn may super tough concepts relatively easy .. that too free of cost...thankss
@statquest
4 жыл бұрын
Thank you very much! :)
@taladiv3415
2 жыл бұрын
Guys like this help make the study world a better place!
@statquest
2 жыл бұрын
Thank you!
@shreyastudies4693
Жыл бұрын
You have a knack for teaching... this was an amazing video, thank you!!
@statquest
Жыл бұрын
Thank you! :)
@pasqualegiorio3651
4 жыл бұрын
Josh you are just a genius of Stat explanations, thank you.
@statquest
4 жыл бұрын
Thank you very much! :)
@kaigordon2900
2 жыл бұрын
Extremely helpful and clear with good examples and explanation! Wonderful, thank you! BAM!!!
@statquest
2 жыл бұрын
Thanks!
@sherrynsherryn5071
4 жыл бұрын
Thank you from Indonesia, I love your videos!
@statquest
4 жыл бұрын
Thank you! :)
@terryliu3635
4 жыл бұрын
The best intro on correlation, thank you!
@statquest
4 жыл бұрын
Thank you! :)
@vamanieperumal5262
4 жыл бұрын
I cant believe how all your videos are so perfect !
@statquest
4 жыл бұрын
Wow, thank you!
@qiliu4100
3 жыл бұрын
I am familiar with the concepts you talk about. But I am a fan of your songs, so I am here to listen to the music.
@statquest
3 жыл бұрын
BAM! :)
@user-kn9wu7ts9m
3 жыл бұрын
It solves my confusion. Thanks a lot.
@statquest
3 жыл бұрын
Bam! :)
@paveldvorak2014
5 жыл бұрын
@Josh, it is great you actually put the text on the screen, I cannot play sound but I can still follow closely what you are saying. Great videos, I hope you will later dive into more advanced topics in time series analysis (unit roots, ARIMA, GARCH, etc). Pls keep it up!
@statquest
5 жыл бұрын
I'm glad you like my style. :)
@jihowoo8227
2 жыл бұрын
Thank you very much. You saved my day with (silly) songs and also my day, even my course :))))
@statquest
2 жыл бұрын
Happy to help!
@draviaartistwithbat5756
5 жыл бұрын
Thanks for the video. And please make next video series on hypothesis testing (z test, t test, anova, chi square)
@markobe08
5 жыл бұрын
That is right!!!
@statquest
5 жыл бұрын
If you want to have a super deep understanding on t-tests and ANOVA, you should check out my StatQuest videos on Linear Models: kzitem.info/door/PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU
@draviaartistwithbat5756
5 жыл бұрын
Sure I will check it and let you know if anything else is needed. Thank you very much. You are doing great man keep up the good work.
@gtrstreet
4 жыл бұрын
Very well explained. I like that you give lots of examples and answer many of the possible questions in advance. Thanks a lot!
@statquest
4 жыл бұрын
Thank you very much! :)
@kylebecker5083
3 жыл бұрын
I've learned so much from this channel. Thanks, Josh.
@statquest
3 жыл бұрын
Awesome, thank you!
@sashacollum7583
2 жыл бұрын
Soooo thankful to have found this video. Why did it seem so hard to understand before?!
@statquest
2 жыл бұрын
bam! :)
@mohammednadeem662
3 жыл бұрын
StatQeust is really amazing to learn and understand things very easy
@statquest
3 жыл бұрын
Thanks!
@sammiechung2711
4 жыл бұрын
Thanks for your detailed and clear explanation. Saving much of my time to read books which hard to understand.
@statquest
4 жыл бұрын
Thanks! I'm glad the video is helpful.
@Bharathkumar-gv4ft
2 жыл бұрын
p-value superbly explained!
@statquest
2 жыл бұрын
Thanks!
@joserobertopacheco298
Жыл бұрын
the ultimate clearly explanation
@statquest
Жыл бұрын
BAM! :)
@robertdavis2855
7 ай бұрын
I didn't think that Machine Learning and humor were correlated but here we are...BAM!
@statquest
7 ай бұрын
bam! :)
@jairoalves8083
5 жыл бұрын
how to obtain the p-value from this data?
@amanmanveen
3 жыл бұрын
@@minhtoto1542 Had the same question. Found this video helpful: kzitem.info/news/bejne/mXetmml-h2edoXY
@eugenefrancisco8279
3 жыл бұрын
You might be referring to a t-test for slope. You would need to calculate a sample regression line using the data and then obtain a p value by performing a test on the data with some null hypothesis.
@harithagayathri7185
4 жыл бұрын
Josh, you explain in such a way that even layman can understand easily. A big shout out to all the hard work you put in for making these videos.👏👏
@statquest
4 жыл бұрын
Thank you very much!!! :)
@hassanrevel
2 жыл бұрын
Josh you're super great man. I really enjoy listening you.
@statquest
2 жыл бұрын
Thank you!
@arismenachekanian1804
9 ай бұрын
Thank you for making this great video!
@statquest
9 ай бұрын
My pleasure!
@vaibhavpandey7398
Жыл бұрын
Uncle josh, ur only one who answers my query of why can't squiggly line be made. Thanku
@statquest
Жыл бұрын
It can be, but it's not as easy (however, modern neural networks can fit a squiggly line to just about anything. For details, see: kzitem.info/news/bejne/266XzXuqf2t-mIo ). When we use squiggly lines, we use R^2 instead of Pearson's Correlation because Pearson's correlation is explicitly defined for straight lines.
@vaibhavpandey7398
Жыл бұрын
@@statquest ok thanku.. It's entirely new for me
@prateeknagaich13
3 жыл бұрын
Hi, great video. Can you please provide additional guidance on the following: a. How do you quantitatively determine the P-value for a correlation? b. What's the difference, both formulaically and conceptually between R2, Correlation, and Beta/coefficient in a regression?
@statquest
3 жыл бұрын
For details on p-values and linear regression, see: kzitem.info/news/bejne/z6FoqYV_jZ-QmKQ
@1miffy1
Жыл бұрын
When Phoebe decides to sing stats... xD Love the videos... lifesavers to sinking ships in the sea of numbers
@statquest
Жыл бұрын
Check out: kzitem.info/news/bejne/pWabzHx7g6WXe6Q
@1miffy1
Жыл бұрын
Omg xD best!
@TheEbbemonster
5 жыл бұрын
Very good - I would have liked to see a p-value calculation also :)
@SaintSaint
3 жыл бұрын
kzitem.info/news/bejne/15ujwKh7hmhkeo4 kzitem.info/news/bejne/lpBvtX2Pemp5mG0 Both answer this.... but I agree... a quick explanation of p values would be the only extra credit that I felt was missing from this video. Much the way he did variance recap at the beginning.
@tuankietly6076
4 жыл бұрын
your video is so great and easy to understand!
@statquest
4 жыл бұрын
Thanks! :)
@PRODKAZ-fy8cx
Жыл бұрын
Thank you so much! This was so helpful.
@statquest
Жыл бұрын
Thanks!
@tatianajaramillo1148
3 жыл бұрын
Thank you for your time to explain and make this video!!!
@statquest
3 жыл бұрын
Thank you very much! I really appreciate your feedback.
@pritikagowda5513
Жыл бұрын
CORRELATION ITS THE SENSATION, please make full version songs on stats haha!
@statquest
Жыл бұрын
:)
@jaleshjalesh5712
5 жыл бұрын
can u please tell how did you calculate p- value?
@ALEX-mo1zo
3 жыл бұрын
He did a video on P-Value
@felipebraga7753
2 жыл бұрын
Cara, seu vídeo é mega claro, sem deixar de ser rigoroso! Super obrigado pelo trabalho!
@statquest
2 жыл бұрын
Muito obrigado!!!
@siddharthmishra8233
2 жыл бұрын
always enjoys your song josh!
@statquest
2 жыл бұрын
Thanks!
@aswathyskumar6622
Жыл бұрын
Thankyou for that intro song though🥺♥️
@statquest
Жыл бұрын
Hooray! :)
@AnayFereshetyan
Жыл бұрын
This was so incredibly helpful, thank you!
@statquest
Жыл бұрын
Thanks!
@caspase888
5 жыл бұрын
Waiting for your videos is a cause worth waiting for 👍👍👍
@statquest
5 жыл бұрын
Thanks! :)
@qinqinkong8330
3 жыл бұрын
Triple Bam!! Thanks for the great lecture, although I think the p-Value not only depend on the amount of data we have, but also depend on the strength of relationship. For example, given the same amount of data, the chance to generate stronger relationship from random points is smaller for higher correlation than lower correlation.
@statquest
3 жыл бұрын
Yes, that's sometimes true, but not always (for example, if your sample size = 2), so I decided to focus on the things that are always true in my video, and that is Correlation is determined by the strength of the relationship and p-values are determined by sample size. In other words, if the sample size is too small you will never have a small p-value, and if the sample size is huge, then it doesn't matter what the correlation is, the p-value will probably be significant. For example, if we have any 2 data points, we can draw a line through them, and correlation = 1, however, the p-value = 1. In contrast, if we have enough data, it doesn't matter how close the correlation is to 0, we can still have a significant p-value.
@qinqinkong8330
3 жыл бұрын
@@statquest You reply my comments! Bam!!!!
@statquest
8 ай бұрын
@@yangyu5525 Corrected!
@maheshsonawane8737
8 ай бұрын
Thanks Josh!!!!!!!!!!!!!! Helps lot.
@statquest
8 ай бұрын
Thank you! :)
@maheshsonawane8737
8 ай бұрын
@@statquest I can't believe u replied. I am pursuing MS Data Science. Your work really give me better understanding. I will pay ur tuition fee when I get job. ✌🤟👆👍😎
@gin36147
2 жыл бұрын
I watched it as background music so not sure if this is already addressed: I think it might be worth mentioning that here "relationship" refers to "linear relationship". Otherwise, e.g. data generated by=x^2 on (-1,1) will get 0 correlation but obviously have a relationship. Relationship sounds more corresponding to "(in)dependence".
@statquest
2 жыл бұрын
Throughout the entire video I mention that we are using a straight line to define the relationship.
@Rustincohle88
2 ай бұрын
BAM !! You are legend 😭👏
@statquest
2 ай бұрын
Thanks!
@sattanathasiva8080
3 жыл бұрын
Hi, one doubt, in practical as you mentioned, smallest p-value will have high correleation I agree. However, I'm confused, If I goes by theoretical explanation of p-value. As per my understanding from your p-value video, p-value is the sum of probability of 1. choosen rare event to occur 2. similar rare event to occur 3. Any other rare event to occur If this is the case, p-value for correleated value shouldn't be high, because p-value will inform what is the probability of having this event to occur i.e event of higher correlation. So it will inform that there is high probability that such correlation will occur. I'm new to stats, so please bear if my understandings are wrong.
@statquest
3 жыл бұрын
It's not true that a small p-value = high correlation. As illustrated in this video, high correlation is simply a function how well a line fits the data, and a line fits any 2 random data points perfectly, and thus, will have the highest correlation, even though the points are random, and thus, will have a p-value of 1. To learn more about p-values, see: kzitem.info/news/bejne/15ujwKh7hmhkeo4 and kzitem.info/news/bejne/z6FoqYV_jZ-QmKQ
@persephonez7067
5 жыл бұрын
This is much better than the class in uni..
@statquest
5 жыл бұрын
Thank you! :)
@florakettle
2 жыл бұрын
TYSM our class were conducting individual research and I have zero idea how to start cuz of statistics
@statquest
2 жыл бұрын
Good luck!
@kiranisrani7245
2 жыл бұрын
Hi. Your explanation was perfectly fine. I have a doubt at 16:20, shouldn't it be "That means that there is 3% chance that random data could produce a weak relationship, or weaker". or "That means that there is 97% chance that random data could produce a strong relationship, or stronger". Because smaller the p value, stronger the correlation.
@statquest
2 жыл бұрын
The video is correct. p-values are kind of tricky, and to learn more about how to interpret them, you can check out this video: kzitem.info/news/bejne/15ujwKh7hmhkeo4 Also, a small p-value doesn't mean a strong correlation. We could have a weak correlation, like 0.1, and still have a small p-value.
@ckarcher4504
4 жыл бұрын
Thank you for your amazing video! Could you explain how to calculate the p-value in this video (such as 12:30). I have watched your p-value, but still do not know how to use it in this video's examples' calculation. 🙏🙏🙏
@statquest
4 жыл бұрын
Unfortunately I can't explain it in a comment. Hopefully one day I'll make a video.
@ckarcher4504
4 жыл бұрын
@@statquest Great😊😇🤓 I look forward to it😍😍. thank you very much!🙏🙏
@sanughosh6540
2 ай бұрын
Amazing explanation
@statquest
2 ай бұрын
Thanks!
@石政泰
11 ай бұрын
Hi, Josh. Nice to meet you! I am Tai from Taipei, Taiwan. From the video you mentioned in @7:42, can we say that the probability of a random dot on a random line is equal to the proportion of a line to the 2-D plain, which is the area of a line/area of a plain = 0/1? As we are interested in the probability of a random dot on a random line, it's actually the same as asking the chance of the dot on the line/the chance of the dot on the whole plain. As a line is 1-D, and the plain is 2-D, the proportion is 0. Hence, the probability of a random dot on a random line is equal to 0.
@statquest
11 ай бұрын
That might be a way to look at it.I've never thought of it that way.
@石政泰
11 ай бұрын
@@statquest Thank you :)
@usama57926
2 жыл бұрын
amazing explanation....
@statquest
2 жыл бұрын
bam!
@Clarkephix
4 жыл бұрын
First time hearing a female voice on your channel, and it's hilarious. Anyway, thanks for all of your videos, it helps me survive throughout my statistic course
@statquest
4 жыл бұрын
Hooray! :)
@SaintSaint
3 жыл бұрын
Needed to comprehend Pearson's correlation for some basic GPU threading Kung Fu. StatQuest had me running in
@statquest
3 жыл бұрын
bam!
@Karankumar-d9r6u
Жыл бұрын
Would you (@statquest) be able to answer these 4 questions intuitively? Choose one of the following options for these four statements a = True b = False c = "We can't be sure." 1. If when x increases, y always increases, Pearson's correlation will be always be 1. 2. If when x increases by 1, y always increases by 3, Pearson's correlation will always be 1. 3. If when x increases by 1, y always decreases by 5, Pearson's correlation will always be -1. 4. If when x increases by 1, y increases by 3 times x, Pearson's correlation will always be 1.
@statquest
Жыл бұрын
Yes, I would be able to do that, and so can you. You can answer all 4 questions, easily and intuitively, by picking a few values for x, drawing a graph of the data and then fitting a line to it.
@botboy2134
4 жыл бұрын
Wow on to the point video!!!
@statquest
4 жыл бұрын
Thank you! :)
@taotaotan5671
4 жыл бұрын
BAM.. Get addicted to your video
@statquest
4 жыл бұрын
Hooray! :)
@abhishek-shrm
4 жыл бұрын
Best video ever seen on correlation👍😁
@statquest
4 жыл бұрын
Thank you very much! :)
@abhishek-shrm
4 жыл бұрын
@@statquest Welcome and thank you for making these videos😁
@Anteater23
3 жыл бұрын
I love your videos.
@statquest
3 жыл бұрын
Thank you!
@arishali9248
4 жыл бұрын
Love your videos mate
@statquest
4 жыл бұрын
Thanks! :)
@difflyfe23
7 ай бұрын
Awesome lecture
@statquest
7 ай бұрын
Thank you!
@jingjingli101
Жыл бұрын
Great video! Can you also explain the difference between spearman and pearson corrlelation? Thanks a million!
@statquest
Жыл бұрын
I'll keep that in mind.
@SevenRavens007
4 жыл бұрын
Still getting this clear in my mind. ..At 13:11 you say that adding data (and a decreased p value) increases our confidence in our guess. I think this may be misleading because it suggests that b smaller p values mean more accurate guesses. I would rather say that smaller p value means more confidence that we are accurately seeing the QUALITY of the guesses we can make (not the guess itself, which is indicated by the correlation value). So with a weak correlation, smaller p value means I am more certain that there is a weak relationship and that my guess will be poor I hope that makes sense. Thanks for a great series
@statquest
4 жыл бұрын
What I was trying to say was in the picture on the left, we can't be sure if adding more data would give us a totally different correlation value, so we have low confidence in it. In the picture on the right, we have enough data to be confident that the correlation value will not change much with additional data.
@yangyu5525
7 ай бұрын
Dear professor, at 12:57 in respect to the picture on the left, you said "increase the sample size ,don't increase the correlation". I have a different opinion about the statement. Because that at starting if I have two dots, so no doubt the correlation of the straight line is equal to 1,and P-value =1.then I add randomly some dots to the graph, well the correlation value will be changed , and so the P-value will do .thus, the P-value just tell us if there is a trend or not ,don't tell you how much the difference and how accurate the trend you find close to the actual of the stuff . Alternatively, the accurateness of trend or model you find depends on not only the amount of dots ,but also the development of technology, right?@@statquest
@sumitkumar-el3kc
3 жыл бұрын
I love how you teach us like we're bunch of 7-8 year's old kids.
@statquest
3 жыл бұрын
I just teach the way I teach myself.
@neuro_mastery
Жыл бұрын
Can't wait for quadruple Bam!
@statquest
Жыл бұрын
Me too! :)
@kudimaysey2459
2 жыл бұрын
Thanks statquest
@statquest
2 жыл бұрын
bam!
@santoshbala9690
4 жыл бұрын
Hi Josh.. Very well explained... Thank you Please do a video on ACF & PACF (Auto Correlation & Partial Auto Correlation)
@yuhuibao1728
2 жыл бұрын
big fan of your music
@statquest
2 жыл бұрын
Thanks!
@asdfafafdasfasdfs
Жыл бұрын
Just to confirm, this correlation coefficient is the R that we have to square to get R squared?
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