I'm am a non engineering background student...unable to understand these terms ....but the way you explained is unbelievable....now I could understand things much more better.... hatsoff 👍
apko koi ek specific input data k sath smjhana chahiye tha....for e.g humare pass jo existing data hai, usme se input A k liye output hona chahiye tha B BUT hmare linear model ne output diya C. simple B and C k difference ko hi error bolte hai... kyu ki model hmesha linear line pr output dega us se bahar ka result nhi dega and actual result line se bahar hota hai... isi liye har jagah hum ye model use nhi kr skte.
Apka andaz dekh k rashk Araha h k kash main is subject ki student hoti. Mera subject change h but thori help chaheye thi butttt Zyada help mili Thank you
Sir summation has to be done before calculating square of difference between predicted and mean or first need to calculate square of each difference and then summation.
Actually it is correct as ssr mean amount of variance captured by model And the one you are mentioning 1- ssr/sst it is not ssr it is sse which means amount of variance present on data so you can use both either 1- sse/sst or ssr/sst
I am a psychology student from Pakistan. And now I really got it what r squared means . Thank you ❤️ sir
bro wtf
I'm am a non engineering background student...unable to understand these terms ....but the way you explained is unbelievable....now I could understand things much more better.... hatsoff 👍
Bs mene b yahi comment krna tha😊
3 din me sare videos dekh liya apke . aur sare smj bhi liya :-) , ab exam dene jaunga
Pass?
@@pankajyv9646 yoo
apko koi ek specific input data k sath smjhana chahiye tha....for e.g humare pass jo existing data hai, usme se input A k liye output hona chahiye tha B BUT hmare linear model ne output diya C. simple B and C k difference ko hi error bolte hai... kyu ki model hmesha linear line pr output dega us se bahar ka result nhi dega and actual result line se bahar hota hai... isi liye har jagah hum ye model use nhi kr skte.
Shridhar Sir Actually you are The great....Thanks a lot for this video
Apka andaz dekh k rashk Araha h k kash main is subject ki student hoti.
Mera subject change h but thori help chaheye thi butttt
Zyada help mili
Thank you
Amazing!!! Loved it!!!
Very nicely explained. Thank you
😊very informative
Great sir!
Excellent explanation, well done
keep up the good work bro
Really nice explanation, Liked and subscribed now
Amazing explanation 🎉 worth to watch ❤
very nice presented by you ................sir
Sir aapne kaha ki rsquare ki value badhne se line points ke kareeb ayegi but vo line straight hogi kya ??
THIS IS QUALITY!!
Sir summation has to be done before calculating square of difference between predicted and mean or first need to calculate square of each difference and then summation.
Thank You Sir
Thanks sir 🎉
mashallah kya padhai ji
great
LOVELY !
isme Y Mean kya hai?? Mean squared error? or simply the mean of y points?
Bhai tu itna khush kyo he ?
Tu bhi khush hoja kya dikkat hai?😂
😂
Bhai khush reh k padh usme mja h😅😅😅
Bestest thank you
It is 1- ssr/sst not only ssr/sst
Actually it is correct as ssr mean amount of variance captured by model
And the one you are mentioning 1- ssr/sst it is not ssr it is sse which means amount of variance present on data
so you can use both either 1- sse/sst or ssr/sst
Awesome method
Sir ek adjusted r2 pe video banaiye
sir yhe Rsqure value alag hi dikhai de rhi hai javatpoint pey
Sir aapse badi request h , ECONOMETRICS PADHAIYE
love you bhaii
How comes the prediction
Wow
Thanku sir
Sir 🙌
Pure semester mei jo nahi samaj paya vo 6min mei samaj gaya.
Thank you
Jabardast
it's wrong the numerator is not from mean but from actual values
👍