Assalam o Alaikum Sir, very informative lecture. Sir, I have to ask a question. I have got a polynomial fit that has "Adj R-square = 0.07943 and R square code is 0.59086". Sir if I exclude one or two values of data wouldn't it change the whole results. I mean the fitted curve would not be 100% real.
Wa alaikum salam dear. There's no specific criteria for including or excluding a certain data point. While averaging the things, we basically remove the outliers. However, it totally depends on the number of your measurements and the desired accuracy. Thanks
It depends on the acceptance value. Usually 0.95 to 0.99 is considered acceptable. You need to improve your fitting by excluding some outlier points etc. Thanks
Learn alots of thing regarding linear fit sir plz also do it for band gap DRS data and IV plotting
Yes sure. Many of such research based stuff will be covered in future IA. Stay tuned and do share with your friends. Thanks
@@SAYPhysics sure sir.
Thank You very Much. the masking was very important, thats what i was missing to fit both linear and polinomial fits in one single graph
Thanks for the appreciation dear 😊
Linear and non linear fitting is very interesting. I like it , Thanks alots sir
Glad you liked it
Assalam o Alaikum Sir, very informative lecture.
Sir, I have to ask a question. I have got a polynomial fit that has "Adj R-square = 0.07943 and R square code is 0.59086". Sir if I exclude one or two values of data wouldn't it change the whole results. I mean the fitted curve would not be 100% real.
Wa alaikum salam dear. There's no specific criteria for including or excluding a certain data point. While averaging the things, we basically remove the outliers. However, it totally depends on the number of your measurements and the desired accuracy. Thanks
Sir, how many values we can exclude so that R square values came in the range?
There's no specific criteria. It depends on the number of your measurements and the desired accuracy. Thanks
if R-Square is not 0.99 what can i do??? My fitting doies not show this standard values
It depends on the acceptance value. Usually 0.95 to 0.99 is considered acceptable. You need to improve your fitting by excluding some outlier points etc. Thanks
Thank you!
Welcome dear
great Sir. Sir but why we do fitting and what is mean by R square value?
Fitting has so many requirements and advantages.