Linearity does not mean x and y should be linear it means that the equation or the Betas or the co-edficients should be additive so y=M1 + m2 X2 + M3 log(x3) +e still confirms to linear assumptions
In the lower bottom right, you can't say their is no relationship. Here relationship present but no linear relationship. This type of relationship called curvilinear relationship.
Linearity does not mean x and y should be linear it means that the equation or the Betas or the co-edficients should be additive so y=M1 + m2 X2 + M3 log(x3) +e still confirms to linear assumptions
Thank you very much sir for such a
great explanation. Highly appreciable work.
Thanks a lot Brother for b'ful description and the way u describe.... really amazing 👌🏻👍🏻
I am very clear about assumption of linear regression. Thank you so much sir.
thanks alot explained very clearly so good one
Informative one
good explaination sir tnx
In the lower bottom right, you can't say their is no relationship. Here relationship present but no linear relationship. This type of relationship called curvilinear relationship.
well explained
excellent, please make more videos
Thank you for the video
Thanks
first you get clarity on what you want to say.. later u can explain.. waste of time ntg is clear.
Hello friends