Covariance and Correlation Coefficient Video

[@BakedBeanieSigel]

This is the best video I've seen on this topic so far... thanks

[@kevinbrown8640]

+Baked Bean Sigel Wow, thank you!

[@danphillips8530]

I agree

[@harperkody466]

you probably dont care at all but does anyone know of a tool to log back into an instagram account? I was dumb forgot the account password. I appreciate any help you can give me.

[@jadenace2936]

@Harper Kody Instablaster =)

[@harperkody466]

@Jaden Ace I really appreciate your reply. I found the site through google and im in the hacking process now. Seems to take quite some time so I will reply here later with my results.

[@nackyding]

I haven't even completed the video (1/2 way through) and I can already say thank you! Clean, clear and straight to the point! Thank you!

[@BeradinhoYilmaz]

How can we decide divided by N or N-1 ?

[@chloekimball536]

Short and crystal clear. Exactly what I was looking for. Thank you!

[@BRUNNSPARK]

I have watched couple of videos, and so far you are the best. Perhaps for the newbies it would also be helpful to say that x bar is the mean of all x.

[@rodrigoprisciliano9176]

I have looked through countless videos now and by far yours is the best explained one! May the math gods bless your soul!!

[@edgargarcia173]

You are the man, Kevin. having Dyslexia, ADD and ADHD combined, had made this very simple and understandable

[@kevinmaria2002]

Thanks! :)

[@robind999]

Covariance and correlation puzzled me for a long time, but your temp and ice cream demo really resolve my puzzle here. thank you very much.

[@mushvigbayramzade7446]

Thank you very much. This is the best video I have ever seen so far on this topic. Clear and precise explanation. Thanks a lot.

[@josephmulenga2938]

Thank you for the well explained video. Kindly continue the good work

[@louaydiab9386]

The best so far among all the videos I watched. Thank you

[@sskpln]

The BEST video on this topic.Wish you were my teacher

[@arajrao]

That was really good. You paused in the middle of the whole thing just to discuss things conceptually, rather than keep plugging on with the math.

[@Polighosh]

The best video so far! Thank you

[@willbrockman9798]

Very helpful. I have had one stat class in college and a class currently that uses stats. This has been more helpful than any teaching on stats that I have received yet.

[@henryzulu585]

Thank you sir well explained video. Keep it up ❤️❤️

[@tyt6862]

Very well done Kevin. Thanks for taking the time to do this. I needed a refresher and your delivery was excellent.

[@pnaveen1987]

Very clear explanation on covariance and correlation. Thank you for your nice work.

[@IDaedalus]

Fantastically explained, simple, real-life example!

[@itsmmada]

Awesomw awesome awesome. I am from Kyrgyzstan, you can be proud of yourself. Thank you very mcuh

[@goguzaum]

Aweosme video! Very a good work! Congratulations

[@petter9078]

Fantastic, just fantastic. Thank you

[@inovationANAS]

Superb video..Thanks for being so clear

[@mrlalit5]

That was a great explanation! Short and simple.

[@Outlier_G]

I am at 3:35 and I can confirm that you are best than my prof in thousand different ways

[@Hellominju-e7w]

thank you Kevin! You explain better than my university professor haha

[@narcalselena]

Thank you Kevin!! I'm in quantitative Econ analysis and this was extremely helpful!

[@RoxanaP56]

this video helped me for my analytical chemistry exam thank you so much

[@EducationPoint2020]

good Sir.... one good article live for 100 year.

[@bladerjam71]

Thanks so much! I don't get many examples in class so I have no idea how to do this but your video makes it super simple and understandable! I have an exam in 2 days so this is a big help! Thanks Kevin!!!! :D

[@BIRUKBIZUNEHGENEBO]

thank you for this brief explanation keep it up!

[@firstkaransingh]

Very well explained. Thank you

[@SaraRuss-gb8sg]

I swear to g-d I didn’t understand anything until I came across this video. Thank you so much !!!!!

[@victorserras]

Perfect explanation, very concise and clear. Thanks!

[@_amit_gupta_]

Hi Sir, Thank you for this enlightening video, after so much web surf finally you cleared the doubts.

[@melvinsebastian8989]

Great video..awsome work!!!! perfect...keep it up

[@lizaminasyan9255]

thank youuu soooo much, i am so grateful for this amazing explanation.

[@danielharis]

thank you very much, best explanation I got after a quick browse.

[@kevinmaria2002]

Thanks!

[@postnetworkacademy]

Clearly explained, difference between covariance and correlation.

[@undercover_secret_agent1726]

Excellent, well explained and really helpful. Thank you

[@taylorz7875]

you explained it perfectly, thank you

[@ashleyhayward2877]

This was so helpful thank you!

[@pinkyybchan]

Thanks for your demonstration. How do I interpret the co-variance, e.g. the strength of the its relationship and direction of relationship ?

[@kevinbrown8640]

+Pinky Chan Hi Pinky! That is the problem with the covariance...its interpretation is limited. It can only really tell you that a relationship is positive or negative (based upon whether it is a positive or negative value). BUT...you can use the covariance to figure out the correlation coefficient, which tells you much more.

[@ToyotaCorollaCE]

Great clear value. Thank you

[@gracedialimas4459]

I really understand this... thank you so much

[@nitesh903]

thnk u so much sir .. u solved my issue . love from india

[@phv16]

Great video! Really has helped me to determine the relationship between my stocks and the market in my finance class. Thanks again for posting!

[@kevinbrown8640]

Thanks Paige!

[@passgyalsiakam]

this video came so clutch.. thanks my man

[@leeragrandduke]

So how do you get the X bar?? Do you sum x and divide by number temperature figures

[@MotaungFamilyMatter]

Great video. I thought I heard music at the end there. Amapiano music :)

[@shihabmashfiq1782]

you are awesome man ! loved it

[@lv.qw1007]

Thanks sir! Your explanation is so clear

[@mohiramansurovna4295]

thanks for clear explanation ☺

[@luswetimeshack3147]

thanks alot...finally i understood the concept

[@3650days]

Very helpful. Thank you Kevin!

[@NR-nu9uk]

GREAT! I understand this now! Thank you!

[@billionairevlog1775]

Great Explanation!!! Thank you Sir.

[@chaudiep8274]

thank you so much for this. It's very understandable

[@fatousamb2691]

Hi Sir! Thank you a lot for your very interesting videos :) I am a little bit confused by the fact that sometime one devides by n sometime by n-1,how can we distinguish the diference between the two; i mean when do we have to divide by n only or by n-1?

[@MrTehbigcheese]

n-1 is when you're doing it for a sample, and n when it's for population.

[@fatousamb2691]

Okey Sir,thank you :)

[@rushabhbhatia4066]

KINE KINE adding to that, samples are usually not a perfect representation of the population, hence there is more chances of the answer being slightly inaccurate. So to be on the safer side we divide by n-1 because DIVIDING by a SMALLER number gives you a BIGGER end result. which just means that you have a larger co-VARIANCE now. and since ,more variance = more fluctuations in data , we end up covering a larger risk than what we would have covered otherwise if it was divided just by 'n'.

[@ItsNotAllRainbows_and_Unicorns]

We can also correlate temps with not just ice cream consumption, but a rise in incidents related to lactose intolerance.

[@barovierkevinallybose1040]

Do we divide by n-1 because we have a small sample?

[@ThePimp4dawin]

Nicely explained. Thank you!

[@michelleparker5670]

Thank you so much. The chart was very helpful!

[@jchen3592]

thank you, your explanation was very clear !!

[@michaelmonte7429]

how do you get the xi and yi numbers????

[@badianacortes894]

Thank you, you helped me to undestand it perfectly

[@mathlogs]

for covarience , divide by n-1 ? or n ?

[@keinestudiere-chillzone633]

I wish you were our teacher at the University.

[@ilovefredreika]

Very clear and helpful!

[@helenkirby2539]

Great explanation, thank you.

[@Angelica-lh1sj]

THIS IS SO HELPFUL THANK YOU

[@QouteOfTheDay]

excellent explanation. thank you.

[@salimmuhammed_um]

excellent work

[@atnuitmoartiiaoln3671]

I read somewhere that when you solve the summation in the numerator we get X*Y and X(mean)*Y(mean) , can you tell how does that happen, Where do the other two terms go?

[@hoanglh2007]

excellent video :). Thanks a lot

[@Amit___rai]

What is correlation between x and 0.5x ?

[@piersanna8866]

how do you know that xi and x equal to -7,5?? what are those numbers??

[@juaneproano4785]

Easy to understand! Thank you

[@navendushekhar9811]

before this video i know only how to solve for covariance,you let me to know the actual meaning of covariance, thank you sir

[@justicentow2157]

How did you get your xi, it should be explained to beginners

[@jasoncysiu]

Good explanation

[@ravitejamom]

Thank you ...u explained it well

[@ellebeautyly5090]

merci beaucoup sa ma vraiment aidé

[@marziehdo6788]

Thanks so much, well explained.

[@albinohelper]

Hi Kevin, Great video! If the correlation coefficient value between x and y is around abs(.5) in my data, is that high enough to propose as an insight that is actionable in a real world business setting?

[@kevinbrown8640]

+Albert Ko Thanks Albert...it depends on the nature of what you are studying...in social sciences, for example, a cc of .5 or higher would be relatively high to suggest association between two variables. In other fields (e.g., medicine or even finance), this may not be high enough.

[@barisgundogdu830]

off the topic but whats the song at the intro?

[@cubeR2viewer]

sh

[@prithvidhyani52]

great video! I was wondering why excel has two different formulas for covariance, one where the denominator is n-1, and one where the denominator is n?

[@meeraalishaq7650]

Population vs sample

[@saami_jawaid]

It really helped me out

[@angeliquerichardson7809]

Hi Kevin, the only thing that has me a bit confused is how you got the std. for x and y. Can someone help me out?

[@kevinbrown8640]

+Angelique Richardson Hi Angelique: Here is a video for finding the standard deviation: kzbin.info/www/bejne/fqKukIWQa6hqf7s

[@liamdabrowski9643]

2:55 when he says -7.5 x 5 he means -7.5 x -5 Nearly tripped me out

[@mihir9608]

Bhai aap mast kaam karte ho bhai. ANybody in 2019? Hit dislike

[@kaylahhancock4282]

Great video sir!

[@kevinbrown8640]

+Kaylah Hancock Thank you!

[@gammaraycube]

using the same numbers on your board my ST.D for X is 6.729% and ST.D for Y is 4.79%. ??!! am using HP sc. calc...i wonder how accurate are my calculations? anyone?

[@13100knowitall]

There are two paradigms: 1) when you calculate std. dev. for whole population one has to divide the Sigma((x-x1) (x-x1)) by N. In Kevin's case, N is 8 and you have used that figure to arrive at 6.729 & 4.79. 2) When you calculate std dev. for a 'sample', you have to divide by Sigma ( (x-x1)*(x-x1)) by (N-1). Kevin has used this second method to arrive at 7.19 & 5.12 respectively. In Microsoft Excel the corresponding two functions are: stddev.p and stddev.s. S for Sample. You can also look at Khanacademy.com to get further intuition.

[@gammaraycube]

Sunil Godse thank you sir!

[@daegudude1048]

Why does my book say formula for covariance is divided by x not x-1 like him?

[@edwinyudlamedyud3453]

Nice and simple.

[@علممالی]

well job sir

[@NandishPatelV]

Very helpful. Thnx.

[@veryeasyproblems333]

why didn't you show how you got the standard deviation

[@abhishekabhilashasingh7406]

nicely taught

[@sahars9427]

very helpful, thank you.

[@kevinbrown8640]

+Sahar M Great, thanks Sahar!

[@mustafadossal6197]

really helpful