Video for finding the covariance and correlation coefficient by hand.
Жүктеу.....
Пікірлер: 162
@nackyding7 жыл бұрын
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!
@user-ns8rn8fu3z
Жыл бұрын
How can we decide divided by N or N-1 ?
@BakedBeanieSigel8 жыл бұрын
This is the best video I've seen on this topic so far... thanks
@kevinbrown8640
8 жыл бұрын
+Baked Bean Sigel Wow, thank you!
@danphillips8530
4 жыл бұрын
I agree
@harperkody466
2 жыл бұрын
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
2 жыл бұрын
@Harper Kody Instablaster =)
@harperkody466
2 жыл бұрын
@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.
@chloekimball5365 жыл бұрын
Short and crystal clear. Exactly what I was looking for. Thank you!
@tyt68628 жыл бұрын
Very well done Kevin. Thanks for taking the time to do this. I needed a refresher and your delivery was excellent.
@rodrigoprisciliano91765 жыл бұрын
I have looked through countless videos now and by far yours is the best explained one! May the math gods bless your soul!!
@BRUNNSPARK7 жыл бұрын
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.
@robind9996 жыл бұрын
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.
@narcalselena3 жыл бұрын
Thank you Kevin!! I'm in quantitative Econ analysis and this was extremely helpful!
@willbrockman97986 жыл бұрын
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.
@louaydiab93867 жыл бұрын
The best so far among all the videos I watched. Thank you
@mushvigbayramzade74466 жыл бұрын
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.
The BEST video on this topic.Wish you were my teacher
@petter90787 жыл бұрын
Fantastic, just fantastic. Thank you
@victorserras6 жыл бұрын
Perfect explanation, very concise and clear. Thanks!
@pnaveen19875 жыл бұрын
Very clear explanation on covariance and correlation. Thank you for your nice work.
@bladerjam716 жыл бұрын
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
@itsmmada6 жыл бұрын
Awesomw awesome awesome. I am from Kyrgyzstan, you can be proud of yourself. Thank you very mcuh
@edgargarcia1737 жыл бұрын
You are the man, Kevin. having Dyslexia, ADD and ADHD combined, had made this very simple and understandable
@kevinmaria2002
7 жыл бұрын
Thanks! :)
@Polighosh2 жыл бұрын
The best video so far! Thank you
@_amit_gupta_7 жыл бұрын
Hi Sir, Thank you for this enlightening video, after so much web surf finally you cleared the doubts.
@mrlalit55 жыл бұрын
That was a great explanation! Short and simple.
@josephmulenga29384 ай бұрын
Thank you for the well explained video. Kindly continue the good work
@3650days8 жыл бұрын
Very helpful. Thank you Kevin!
@RoxanaP567 жыл бұрын
this video helped me for my analytical chemistry exam thank you so much
@undercover_secret_agent17268 жыл бұрын
Excellent, well explained and really helpful. Thank you
@taylorz78757 жыл бұрын
you explained it perfectly, thank you
@shihabmashfiq17826 жыл бұрын
you are awesome man ! loved it
@NR-nu9uk7 жыл бұрын
GREAT! I understand this now! Thank you!
@melvinsebastian89896 жыл бұрын
Great video..awsome work!!!! perfect...keep it up
@goguzaum6 жыл бұрын
Aweosme video! Very a good work! Congratulations
@henryzulu5853 жыл бұрын
Thank you sir well explained video. Keep it up ❤️❤️
@user-xi8sj1sq2c9 ай бұрын
thank you Kevin! You explain better than my university professor haha
@billionairevlog17755 жыл бұрын
Great Explanation!!! Thank you Sir.
@michelleparker56705 жыл бұрын
Thank you so much. The chart was very helpful!
@jchen35928 жыл бұрын
thank you, your explanation was very clear !!
@ToyotaCorollaCE2 жыл бұрын
Great clear value. Thank you
@Outlier_G Жыл бұрын
I am at 3:35 and I can confirm that you are best than my prof in thousand different ways
@lizaminasyan92553 жыл бұрын
thank youuu soooo much, i am so grateful for this amazing explanation.
@Angelica-lh1sj5 жыл бұрын
THIS IS SO HELPFUL THANK YOU
@inovationANAS5 жыл бұрын
Superb video..Thanks for being so clear
@lv.qw10078 жыл бұрын
Thanks sir! Your explanation is so clear
@ThePimp4dawin6 жыл бұрын
Nicely explained. Thank you!
@badianacortes8945 жыл бұрын
Thank you, you helped me to undestand it perfectly
@ilovefredreika8 жыл бұрын
Very clear and helpful!
@EducationPoint20206 жыл бұрын
good Sir.... one good article live for 100 year.
@nitesh9037 жыл бұрын
thnk u so much sir .. u solved my issue . love from india
@user-gy5ot5pf1d Жыл бұрын
thank you for this brief explanation keep it up!
@helenkirby25395 жыл бұрын
Great explanation, thank you.
@phv1610 жыл бұрын
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
10 жыл бұрын
Thanks Paige!
@hoanglh20077 жыл бұрын
excellent video :). Thanks a lot
@firstkaransingh2 жыл бұрын
Very well explained. Thank you
@SaraRuss-gb8sg4 жыл бұрын
I swear to g-d I didn’t understand anything until I came across this video. Thank you so much !!!!!
@andreaviljoen9424 Жыл бұрын
This was so helpful thank you so much!
@juaneproano47856 жыл бұрын
Easy to understand! Thank you
@QouteOfTheDay6 жыл бұрын
excellent explanation. thank you.
@luswetimeshack31477 жыл бұрын
thanks alot...finally i understood the concept
@marziehdo67888 жыл бұрын
Thanks so much, well explained.
@ashleyhayward28772 жыл бұрын
This was so helpful thank you!
@ellebeautyly50908 жыл бұрын
merci beaucoup sa ma vraiment aidé
@arajrao5 ай бұрын
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.
@postnetworkacademy Жыл бұрын
Clearly explained, difference between covariance and correlation.
@gracedialimas44593 жыл бұрын
I really understand this... thank you so much
@danielharis7 жыл бұрын
thank you very much, best explanation I got after a quick browse.
@kevinmaria2002
7 жыл бұрын
Thanks!
@chaudiep82742 жыл бұрын
thank you so much for this. It's very understandable
@passgyalsiakam9 жыл бұрын
this video came so clutch.. thanks my man
@TheWoundedDoctor
9 жыл бұрын
Jeff Wong You bet Jeff!
@mohiramansurovna42957 ай бұрын
thanks for clear explanation ☺
@ravitejamom6 жыл бұрын
Thank you ...u explained it well
@njjjmmma9 жыл бұрын
thanks alot (y) God bless you!
@salimmuhammed_um4 жыл бұрын
excellent work
@NandishPatelV7 жыл бұрын
Very helpful. Thnx.
@saami_jawaid2 жыл бұрын
It really helped me out
@navendushekhar98118 жыл бұрын
before this video i know only how to solve for covariance,you let me to know the actual meaning of covariance, thank you sir
@jasoncysiu4 жыл бұрын
Good explanation
@keinestudiere-chillzone6332 жыл бұрын
I wish you were our teacher at the University.
@MotaungFamilyMatter Жыл бұрын
Great video. I thought I heard music at the end there. Amapiano music :)
@brigjay1236 жыл бұрын
that was just awesome
@itsnotallrainbowsandunicor15056 жыл бұрын
We can also correlate temps with not just ice cream consumption, but a rise in incidents related to lactose intolerance.
@lailymedha595 Жыл бұрын
superb!
@kaylahhancock42828 жыл бұрын
Great video sir!
@kevinbrown8640
8 жыл бұрын
+Kaylah Hancock Thank you!
@cyndara886 жыл бұрын
Thank you!
@lauragutierrez41127 жыл бұрын
Wow thank you!!!
@tahmidishraque64595 жыл бұрын
great one....
@alaaeltayeb57946 жыл бұрын
thank you bless you
@sayeemhussain30908 жыл бұрын
taught a lot. thnx
@sahars94278 жыл бұрын
very helpful, thank you.
@kevinbrown8640
8 жыл бұрын
+Sahar M Great, thanks Sahar!
@leeragrandduke3 жыл бұрын
So how do you get the X bar?? Do you sum x and divide by number temperature figures
@user-hq6ed4mp1w6 жыл бұрын
well job sir
@pinkyybchan8 жыл бұрын
Thanks for your demonstration. How do I interpret the co-variance, e.g. the strength of the its relationship and direction of relationship ?
@kevinbrown8640
8 жыл бұрын
+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.
@atnuitmoartiiaoln36718 жыл бұрын
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?
@hamedmohamed85942 жыл бұрын
Thank you.
@charez88ify4 жыл бұрын
Thank you thank you :)
@mihir96084 жыл бұрын
Bhai aap mast kaam karte ho bhai. ANybody in 2019? Hit dislike
@mustafadossal61975 жыл бұрын
really helpful
@liamdabrowski96436 жыл бұрын
2:55 when he says -7.5 x 5 he means -7.5 x -5 Nearly tripped me out
@landilekweba30978 жыл бұрын
Thanks a lot.
@abhishekabhilashasingh74064 жыл бұрын
nicely taught
@fatousamb26919 жыл бұрын
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
9 жыл бұрын
n-1 is when you're doing it for a sample, and n when it's for population.
@fatousamb2691
9 жыл бұрын
Okey Sir,thank you :)
@rushabhbhatia4066
9 жыл бұрын
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'.
@edwinyudlamedyud34537 жыл бұрын
Nice and simple.
@barovierkevinallybose10404 жыл бұрын
Do we divide by n-1 because we have a small sample?
Пікірлер: 162
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!
@user-ns8rn8fu3z
Жыл бұрын
How can we decide divided by N or N-1 ?
This is the best video I've seen on this topic so far... thanks
@kevinbrown8640
8 жыл бұрын
+Baked Bean Sigel Wow, thank you!
@danphillips8530
4 жыл бұрын
I agree
@harperkody466
2 жыл бұрын
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
2 жыл бұрын
@Harper Kody Instablaster =)
@harperkody466
2 жыл бұрын
@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.
Short and crystal clear. Exactly what I was looking for. Thank you!
Very well done Kevin. Thanks for taking the time to do this. I needed a refresher and your delivery was excellent.
I have looked through countless videos now and by far yours is the best explained one! May the math gods bless your soul!!
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.
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.
Thank you Kevin!! I'm in quantitative Econ analysis and this was extremely helpful!
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.
The best so far among all the videos I watched. Thank you
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.
Fantastically explained, simple, real-life example!
The BEST video on this topic.Wish you were my teacher
Fantastic, just fantastic. Thank you
Perfect explanation, very concise and clear. Thanks!
Very clear explanation on covariance and correlation. Thank you for your nice work.
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
Awesomw awesome awesome. I am from Kyrgyzstan, you can be proud of yourself. Thank you very mcuh
You are the man, Kevin. having Dyslexia, ADD and ADHD combined, had made this very simple and understandable
@kevinmaria2002
7 жыл бұрын
Thanks! :)
The best video so far! Thank you
Hi Sir, Thank you for this enlightening video, after so much web surf finally you cleared the doubts.
That was a great explanation! Short and simple.
Thank you for the well explained video. Kindly continue the good work
Very helpful. Thank you Kevin!
this video helped me for my analytical chemistry exam thank you so much
Excellent, well explained and really helpful. Thank you
you explained it perfectly, thank you
you are awesome man ! loved it
GREAT! I understand this now! Thank you!
Great video..awsome work!!!! perfect...keep it up
Aweosme video! Very a good work! Congratulations
Thank you sir well explained video. Keep it up ❤️❤️
thank you Kevin! You explain better than my university professor haha
Great Explanation!!! Thank you Sir.
Thank you so much. The chart was very helpful!
thank you, your explanation was very clear !!
Great clear value. Thank you
I am at 3:35 and I can confirm that you are best than my prof in thousand different ways
thank youuu soooo much, i am so grateful for this amazing explanation.
THIS IS SO HELPFUL THANK YOU
Superb video..Thanks for being so clear
Thanks sir! Your explanation is so clear
Nicely explained. Thank you!
Thank you, you helped me to undestand it perfectly
Very clear and helpful!
good Sir.... one good article live for 100 year.
thnk u so much sir .. u solved my issue . love from india
thank you for this brief explanation keep it up!
Great explanation, thank you.
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
10 жыл бұрын
Thanks Paige!
excellent video :). Thanks a lot
Very well explained. Thank you
I swear to g-d I didn’t understand anything until I came across this video. Thank you so much !!!!!
This was so helpful thank you so much!
Easy to understand! Thank you
excellent explanation. thank you.
thanks alot...finally i understood the concept
Thanks so much, well explained.
This was so helpful thank you!
merci beaucoup sa ma vraiment aidé
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.
Clearly explained, difference between covariance and correlation.
I really understand this... thank you so much
thank you very much, best explanation I got after a quick browse.
@kevinmaria2002
7 жыл бұрын
Thanks!
thank you so much for this. It's very understandable
this video came so clutch.. thanks my man
@TheWoundedDoctor
9 жыл бұрын
Jeff Wong You bet Jeff!
thanks for clear explanation ☺
Thank you ...u explained it well
thanks alot (y) God bless you!
excellent work
Very helpful. Thnx.
It really helped me out
before this video i know only how to solve for covariance,you let me to know the actual meaning of covariance, thank you sir
Good explanation
I wish you were our teacher at the University.
Great video. I thought I heard music at the end there. Amapiano music :)
that was just awesome
We can also correlate temps with not just ice cream consumption, but a rise in incidents related to lactose intolerance.
superb!
Great video sir!
@kevinbrown8640
8 жыл бұрын
+Kaylah Hancock Thank you!
Thank you!
Wow thank you!!!
great one....
thank you bless you
taught a lot. thnx
very helpful, thank you.
@kevinbrown8640
8 жыл бұрын
+Sahar M Great, thanks Sahar!
So how do you get the X bar?? Do you sum x and divide by number temperature figures
well job sir
Thanks for your demonstration. How do I interpret the co-variance, e.g. the strength of the its relationship and direction of relationship ?
@kevinbrown8640
8 жыл бұрын
+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.
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?
Thank you.
Thank you thank you :)
Bhai aap mast kaam karte ho bhai. ANybody in 2019? Hit dislike
really helpful
2:55 when he says -7.5 x 5 he means -7.5 x -5 Nearly tripped me out
Thanks a lot.
nicely taught
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
9 жыл бұрын
n-1 is when you're doing it for a sample, and n when it's for population.
@fatousamb2691
9 жыл бұрын
Okey Sir,thank you :)
@rushabhbhatia4066
9 жыл бұрын
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'.
Nice and simple.
Do we divide by n-1 because we have a small sample?