Sharing online lecture for students along with your personal household work during this Corona hardtime is really appreciated. Yes this is national duty 🙌!!proud this Dr!!
Residual effect means the role of other possible independent variables which were not included in the study on the dependent variable Yes, value can be negative but it is considered as inadequate fit model. Normally, It ranges from zero (perfect fit) to one (very poor fit). The value of a well-fitting model should be < .05.
helping students by giving lectures during lockdown. Very good
Sharing online lecture for students along with your personal household work during this Corona hardtime is really appreciated.
Yes this is national duty 🙌!!proud this Dr!!
Nicely explained mam..
Thank uh so much for doing such a hardwork for us..
Proud to be your student.☺❤
I can express how much helpful this video for me😍✌️🙏thanx a lot mam, n keep it uo
Thank you ma'am.. ur voice is very sweet.
Very nice video thankyou mam, this is very useful.
Definitely my fav Kanak by far🫶
you deserve like and subscribe
Good work..
Very useful one...Thanks a lot
Mam how can we calculate direct effect based on correlation manually ??
Please one more video for correlation and path analysis with example thank you mam...
Good Job Madam!
Thank you mam...good explanation
Thank you Mam very nicely explained Mam please make a video on qtl analysis
...ꜱᴏ ᴠᴇʀy ꜱɪᴍᴩʟᴇ ..🌱🥧🎋🎋📗🖊️
Thank you
Mem thoda loudly boliye
Didi plzz Line × Taster pe ek lecture banaiye plzzz
Increase volume (students demand)
I have one question, can residual value be negative?
Residual effect means the role of other possible independent variables which were not included in the study on the dependent variable
Yes, value can be negative but it is considered as inadequate fit model.
Normally, It ranges from zero (perfect fit) to one (very poor fit).
The value of a well-fitting model should be < .05.
,❤❤❤
Ma'am Hindi me Kiu nhi padaya karti Ap...? Samjhne me muskil Hoti h
Hii
I didn’t like her explanation