You are my favorite biostatistics faculty... The way to teach is incredible.. Thank you for making this subject a bit easy for all of you.. So Grateful😇 🙏
Dear sir, I'm student of M.A economics and am attending ur class of economics since 2 days feeling better knowledge from ur class, i hope u will be a good teacher for the next best👍... So please continue that's like u'r starting... Thanks alot
Thankyou sir maine apka corelation ka 6 videos pura dekha sir kasam se maja aa gaya bohot acha video banaya h apne ap hi karan h for which I will score good in STATS.
Wow sir apne bahat achi tarike se samjhadia hai Apake class baje se correlation ke related meri tension dur ho geya Sirf apke baje se mujhe aab correlation ka calculation easy lag raha hai Thank you so much sir
Major points missing in this presentation 1. Any conclusion about correlation coefficient can be drawn only after finding the statistical significance of the correlation coefficient. Without finding statistical significance, no conclusions should be drawn. Only if the correlation coefficient however small or high may be, is statistically significant, at (n-2) degrees of freedom, conclusion can be drawn. 2. Pearsonian correlation coefficient measures only the strength of linear association between two continuous variables. Therefore unless the scatter diagram between the two continuous variables indicate some linear direction of association, correlation coefficient can be computed. Suppose the scatter between X and Y shows a curvilinear association such as inverted U or U or a curve, then correlation coefficient should not be computed in such cases. 3. The two variables X and Y should be continuous variables and not discrete variables. For example we cannot use Pearsonian correlation coefficient to measure the degree of association between Gender and Income, or between Sex (male, female, other) and Location (North, South, East, West) since they are discrete variables. 4. Pearsonian Correlation will not and cannot indicate causation. ie. if correlation between X and Y is negative as for example between quantity demanded and Price, we can only say that Price and Quantity demanded are moving in opposite direction; if correlation between Height and Weight is positive, we can only say that Height and weight are moving together in positive direction. But we can never say that as the price increases, quantity demanded decreases or vice versa. Similarly, we can never say that as the height increases, weight also increases. Therefore, kindly note that for using Pearsonian correlation both two variables under consideration must be continuous variables. For example Gender is a discrete variable (since it can be male, female or other). Income and age are continuous random variables and correlation can be measured between these two variables. Once again, kindly note that if the correlation between age and income is say 0.75 and is statistically significant, you cannot and should not say that as the age increases, income increases and so on, because Pearsonian correlation only indicates the degree of association between the two continuous variables but not the causation. Using Pearsonian correlation, if the correlation is positive and significant, one should not conclude that as the variable X increases Y also increases; if the correlation is negative and significant, one should not conclude that as the variable X increases, Y decreases. One can only say for positive and significant correlation, X and Y are positively associated; and for negative and significant correlation, X and Y are negatively associated, but never conclude about causation. This is a common mistake found in many research articles which should be avoided. Kindly read Damodar Gujrati, Econometrics for all details.
Slam.. Tomorrow is my mid paper of stat and I was worried how to prepare and then I got your video on RUclips😍😍 It helped me alot in understanding concepts.. Thanks Great video❤❤❤
A very thnks to u Sir🙏🏻.. u've tell us what a correlation really is.. bcs mny tchrs just tell that do variable ke bich ka diff hota h aur iska formula ye h🤷🏻♀️😑 🙅🏻♀️🙅🏻♀️
Finally got someone who can make me understand the correlation
Agree yrr 😅
True ♥️
Class m padh lete to yaha ni aana padta
@@shivanikashyap1606 qqq2qqqqq2w2qqqqqq1q
@@AnshuKumar-gm8kw apne kaam se kaam rakhte to aise ii kisi ke bhi comment section mai dhakke khane ki jrurt nhi padti
After watching two videos you are my favorite statistics teacher
😎Legends r watching this before a day of exam👍😜
Legend r watching 1 hr before exam😂
Yes I am watching now . Tomorrow my exam😂
Us moment😢😂@@Hitmangaming19
True😂
Na bhai main aaj dekh raha hu aaj hee exam hai. 10 bje dekh rha hu 1 bje exam hai 😂😂😂
Sir u r such a great teacher
So many teachers only teach us how to calculate correlation but u teach why we use it ... respect to u🙏👌👍🙇♀️
❤️
Teachers like you deserve 100 million subscribers
You are my favorite biostatistics faculty... The way to teach is incredible.. Thank you for making this subject a bit easy for all of you.. So Grateful😇 🙏
You're really great sir...thanks for existing finally i got really a teacher who made me understand correlation.
Dear sir, I'm student of M.A economics and am attending ur class of economics since 2 days feeling better knowledge from ur class, i hope u will be a good teacher for the next best👍... So please continue that's like u'r starting... Thanks alot
❤️
Economics? Where ? He has different channel for economics ?
Thank you so much sir 🙏
Your way of teaching is too Good 👏
And you are so calm as well 🙏
What an amazing elaboration power..! Even better than a university professor..!
You are my favorite statistics teacher.🤩
Baby your and my favourite statistics teacher are same 💜💜🤫🤫
You are life saver for mechanical engineer🥺
Sir hats off to ur teaching 🙏🏻 finally at the end time of year u make me understand my whole doubt
Please use English
@@TwinomujinyaDavid jnb unho ny English hi to use ki hai
Finally i get my expected solution with this video. Thank you sir.
I just love this channel for good statistics knowledge.
Thank you very much.
very useful and commendable performance. It was really beneficial for me. Thanks a lot
It helped me a lot before exam. Thank you so much sir...from Bangladesh
This video is too much useful n beneficial for me sir....tq very much 💙💙
Thank you
It help me to understanding correlation in easy way🎉❤
you are great sir..thank you so much sir
jab aap bolte bolte thak gye tb pata chala ki aapne kitni mehnat ki hai..
again thank you so much sir
I understood correlation clearly after seeing this vedio. Allah will bless you🥰
Hated this subject untill I watched your video . A teacher can make or break the students interest in the subject . Thank you ❤
Well don, today I got it.. thanks for sharing such informative video lecture
Thankyou sir maine apka corelation ka 6 videos pura dekha sir kasam se maja aa gaya bohot acha video banaya h apne ap hi karan h for which I will score good in STATS.
you taught amazing sir now i understood what is correlation thanks sir
Thank u sir..very helpful and u r a grt maths teacher 🌺🌺
Sir, you explained this topic very well.
sir big big respect to you , i search everywhere , but found this video helpful
Thank u so much sir🤗🤗 for making this vdo. Now I'm able to understand this topic completely.
Explained in the most simplified way. Thanks a lot sir
Excellent teaching technique,, 🙏🙏🙏👍👍👍👍👍
I'm just speechless by attending your class today...
Wow sir apne bahat achi tarike se samjhadia hai
Apake class baje se correlation ke related meri tension dur ho geya
Sirf apke baje se mujhe aab correlation ka calculation easy lag raha hai
Thank you so much sir
thank u sir for teaching i appreaseat your teaching
Wonderful✨😍 explanation sir
Mashallah you are bast t teacher🎉🎉❤
Thanks sir👍 your the best teacher economic 👍👍
Thanks sir for Excellent Teaching....❤🙏
I think you are best teacher ..your techniques of explaining things is outclass .keep it up 💕💕
Thanq so much sir. . For teaching us in such an easy way...
Thnkyu so much sir u make us understand very easily.☺️
Explaining Very Well. Keep going. Will help lot of students. Thanks
Thank u so much great teacher har chz bht asani s or easily samj a Gai 🥰
Sir
I'm from Bangladesh.
Your teaching style is mind blowing sir❤
border paar krke idhar mt aa jana pdhne👀
Thank you so much sir... I thought stastics is really hard but u made it so simple...
Best Vdeo On this chap.. According to me on the whole RUclips..
Wow!! Stats made so simple!👏😊
Great Teaching 👍.... Thank you Sir ❤
Thank you so much sir❤..the way you are teaching it's so easy to understand.
Thank you so much❤ very nice and clear explanation
No doubt
No problem
The best teacher is here ❤️
I wish to have a teacher like him in my college 😢😢
Nicely Explained Thank You Sir….!! Keep Teaching Us Sir
Thank you so much sir🙏itne easy way me aapne samjha diye
Sir, I learned a lot from your lecture.
Thanks sir, seriously ur having great teaching knowledge 🙏
Thank you Sir
This video is vry helpful 💕💕
Nice class...🎉🎉 thanks sir....
You are great teacher sir and you work is marvellous ❤❤
Sir you are tooo good in explaining... I was so afraid of this topic but you made it so easy to understand... Thank u thank uu sooo mch
Thanks sir these topic canot explained by any teacher without you
Thank you sir, sab mamaj Aya gya...❤❤
i am from pakistan fan of your teaching method
That’s the difference between teacher by choice and teacher by profession
Where are you from dear
U r great sir
No one can explain as easily as u do
Thanks to uhh.....heartily
Thanks sir good explanation with out any doubt.
gem of a person, way of teaching is wow.
Just came here before my mid terms and I can understand everything now 😊
Amazingly explained sir. No confusion ❤
Major points missing in this presentation 1. Any conclusion about correlation coefficient can be drawn only after finding the statistical significance of the correlation coefficient. Without finding statistical significance, no conclusions should be drawn. Only if the correlation coefficient however small or high may be, is statistically significant, at (n-2) degrees of freedom, conclusion can be drawn. 2. Pearsonian correlation coefficient measures only the strength of linear association between two continuous variables. Therefore unless the scatter diagram between the two continuous variables indicate some linear direction of association, correlation coefficient can be computed. Suppose the scatter between X and Y shows a curvilinear association such as inverted U or U or a curve, then correlation coefficient should not be computed in such cases. 3. The two variables X and Y should be continuous variables and not discrete variables. For example we cannot use Pearsonian correlation coefficient to measure the degree of association between Gender and Income, or between Sex (male, female, other) and Location (North, South, East, West) since they are discrete variables. 4. Pearsonian Correlation will not and cannot indicate causation. ie. if correlation between X and Y is negative as for example between quantity demanded and Price, we can only say that Price and Quantity demanded are moving in opposite direction; if correlation between Height and Weight is positive, we can only say that Height and weight are moving together in positive direction. But we can never say that as the price increases, quantity demanded decreases or vice versa. Similarly, we can never say that as the height increases, weight also increases. Therefore, kindly note that for using Pearsonian correlation both two variables under consideration must be continuous variables. For example Gender is a discrete variable (since it can be male, female or other). Income and age are continuous random variables and correlation can be measured between these two variables. Once again, kindly note that if the correlation between age and income is say 0.75 and is statistically significant, you cannot and should not say that as the age increases, income increases and so on, because Pearsonian correlation only indicates the degree of association between the two continuous variables but not the causation. Using Pearsonian correlation, if the correlation is positive and significant, one should not conclude that as the variable X increases Y also increases; if the correlation is negative and significant, one should not conclude that as the variable X increases, Y decreases. One can only say for positive and significant correlation, X and Y are positively associated; and for negative and significant correlation, X and Y are negatively associated, but never conclude about causation. This is a common mistake found in many research articles which should be avoided. Kindly read Damodar Gujrati, Econometrics for all details.
🥴🥴
Really good explanation ❤ sir
Thank you sir. It really helped me!!
Sir you teacher very well...its understandable and easy...thank you
Thanks, Sir. Respect from a Pakistan phd student in Italy.
Really I am so obsessed with your teaching and explaining techniques 😊
Best teacher ever ✨
Brilliant way of deliverence👏👏
Slam.. Tomorrow is my mid paper of stat and I was worried how to prepare and then I got your video on RUclips😍😍 It helped me alot in understanding concepts.. Thanks Great video❤❤❤
Sir you are a champ
Love from pakistan 🇵🇰 ♥
Wahh sir maza aa gya or samajh me bhi aa gya thank you sir ❤
Sir! Thanks for the simple and easy explanation🤩
Perfectly explained sir... Thank you so much...
Wowwww
That's wonder.👍👍👍
Thank you sooo much for this informative video, you saved my preboard and board exam. 😭😭👍👍👍👍
I m from Pakistan really knowledgeable video
Really effective 😊😊.. thankyou sir
Sir your teaching is awesome..... You deserves 1M subscribers and lots of love from students.....
Sir this concept is clear because of you.
You explain every concept very clearly.
Thank you sir so simply u teach us❤
Masha Allah sir Allah pak apko nazr bad sy bachye insha Allah Ameen sum Ameen nice Masha Allah
Bhut sahi guide kr te ha guru ji 🙏
Thank you for explaining so well😊. Really a good teacher can make student love studies
Sir, You are great teacher , Your understanding way is mind-blowing ❤️❤️❤️❤️
Wow sir kitna Axa se explain krte ho ap ❤❤
After stressful topic nice relaxing music.
Allah ap k ilm ma or izafa kre, Amen.
Sir you have excellent teaching 🙏
A very thnks to u Sir🙏🏻.. u've tell us what a correlation really is.. bcs mny tchrs just tell that do variable ke bich ka diff hota h aur iska formula ye h🤷🏻♀️😑
🙅🏻♀️🙅🏻♀️
Nice class.Thank you Sir