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
Slam.. Tomorrow is my mid paper of stat and I was worried how to prepare and then I got your video on UA-cam😍😍 It helped me alot in understanding concepts.. Thanks Great video❤❤❤
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.
Sir, I want to understand the topics of practical geography in the same fashion that you made me in these sections .sir, please make such conceptual videos on them also(specially the mid chapters).
😎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 😂😂😂
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
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🙏👌👍🙇♀️
❤️
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😇 🙏
Teachers like you deserve 100 million subscribers
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 ?
You are life saver for mechanical engineer🥺
You are my favorite statistics teacher.🤩
Baby your and my favourite statistics teacher are same 💜💜🤫🤫
You're really great sir...thanks for existing finally i got really a teacher who made me understand correlation.
What an amazing elaboration power..! Even better than a university professor..!
Thank you so much sir 🙏
Your way of teaching is too Good 👏
And you are so calm as well 🙏
No doubt
No problem
The best teacher is here ❤️
I think you are best teacher ..your techniques of explaining things is outclass .keep it up 💕💕
This video is too much useful n beneficial for me sir....tq very much 💙💙
I just love this channel for good statistics knowledge.
Thank you very much.
I understood correlation clearly after seeing this vedio. Allah will bless you🥰
It helped me a lot before exam. Thank you so much sir...from Bangladesh
Sir hats off to ur teaching 🙏🏻 finally at the end time of year u make me understand my whole doubt
Please use English
@@user-yf1fc7xv6u jnb unho ny English hi to use ki hai
Nice class...🎉🎉 thanks sir....
Sir, you explained this topic very well.
you taught amazing sir now i understood what is correlation thanks sir
very useful and commendable performance. It was really beneficial for me. Thanks a lot
Well don, today I got it.. thanks for sharing such informative video lecture
Slam.. Tomorrow is my mid paper of stat and I was worried how to prepare and then I got your video on UA-cam😍😍 It helped me alot in understanding concepts.. Thanks Great video❤❤❤
I'm just speechless by attending your class today...
Finally i get my expected solution with this video. Thank you sir.
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
Thank you sir❣️
Thank u sir..very helpful and u r a grt maths teacher 🌺🌺
Sir
I'm from Bangladesh.
Your teaching style is mind blowing sir❤
border paar krke idhar mt aa jana pdhne👀
Thank you
It help me to understanding correlation in easy way🎉❤
Excellent teaching technique,, 🙏🙏🙏👍👍👍👍👍
Wow!! Stats made so simple!👏😊
Explained in the most simplified way. Thanks a lot sir
Best teacher ever ✨
i am from pakistan fan of your teaching method
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
YOUR TEACHING STYLE IS JUST AMAZING AND SIMPLE TO UNDERSTAND 🙌🙌
Really I am so obsessed with your teaching and explaining techniques 😊
I wish to have a teacher like him in my college 😢😢
Thank you sir, understand it clearly today and as per syllabus 👍👍 thank u so much sir.
gem of a person, way of teaching is wow.
Great Teaching 👍.... Thank you Sir ❤
Wonderful✨😍 explanation sir
Bhot shi btaya h..... very nice video
Thank u so much sir🤗🤗 for making this vdo. Now I'm able to understand this topic completely.
Thank you for explaining so well😊. Really a good teacher can make student love studies
sir big big respect to you , i search everywhere , but found this video helpful
thank u sir for teaching i appreaseat your teaching
Wow sir kitna Axa se explain krte ho ap ❤❤
Thanq so much sir. . For teaching us in such an easy way...
Sir youtube pe ap se acha teacher nhi deka kio k ap practical ho. Khas kar statistics bahooth practical subject hy.
Thank you so much sir❤..the way you are teaching it's so easy to understand.
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.
🥴🥴
Thanks sir these topic canot explained by any teacher without you
Taught very nicely and conceptually , best teachings skill 🙏🙏💫
Explaining Very Well. Keep going. Will help lot of students. Thanks
Sir your teaching is awesome..... You deserves 1M subscribers and lots of love from students.....
Allah ap k ilm ma or izafa kre, Amen.
Wahh sir maza aa gya or samajh me bhi aa gya thank you sir ❤
U r great sir
No one can explain as easily as u do
Thanks to uhh.....heartily
Thanks sir for Excellent Teaching....❤🙏
Well-explained.Thanks a lot
Thank you sir. It really helped me!!
Sir, I learned a lot from your lecture.
Way better than college prof 🔥
Better nahi bro best college me studies hi nahi hoti😆
Thanks, Sir. Respect from a Pakistan phd student in Italy.
Kash hamary bhi statistics kay sir aise hi hoty 🤌🏻💯 Very great work
Thnkyu so much sir u make us understand very easily.☺️
wow beautiful explanation🙏
Osm sir apne bhut ache se samjhaya 👌
Sir, I want to understand the topics of practical geography in the same fashion that you made me in these sections .sir, please make such conceptual videos on them also(specially the mid chapters).
Salute to your efforts sir. What a wonderful lecture this is!
That’s the difference between teacher by choice and teacher by profession
Where are you from dear
Really good explanation ❤ sir
Brilliant way of deliverence👏👏
Best Vdeo On this chap.. According to me on the whole UA-cam..
Just came here before my mid terms and I can understand everything now 😊
Thank you so much sir... I thought stastics is really hard but u made it so simple...
Thanks sir👍 your the best teacher economic 👍👍
Thank you sir, sab mamaj Aya gya...❤❤
Amazingly explained sir. No confusion ❤
Wow sir..tx a lot for this amazing level of clarification 😊🙏
Nice class.Thank you Sir
Sir you teacher very well...its understandable and easy...thank you
You explain every concept very clearly.
After stressful topic nice relaxing music.
Sir, You are great teacher , Your understanding way is mind-blowing ❤️❤️❤️❤️
Masha Allah sir Allah pak apko nazr bad sy bachye insha Allah Ameen sum Ameen nice Masha Allah
Awesome lecture of Stats
totally appreciatable class 💯🙏
Very nice way to explaining
very nicely explained ... keep it up
Thank you Sir
This video is vry helpful 💕💕
Thanks sir, seriously ur having great teaching knowledge 🙏
Thank you so much❤ very nice and clear explanation
Kamaal......haad hai
Itna easy 💜💜💜
Thank you so much sir🙏itne easy way me aapne samjha diye