Very well explained.. kindly add the assumptions of regression as well. It'll enhance the statistical clarity of the video. Ignoring skewed residual in dependent variables, multi-collinearity in multiple regression can lead to false positive results.
Thank so much sr for creating this channel! It would be really helpful for us 👍🏻
Thanks. I am glad it is helpful to the scholars.
Very well explained.. kindly add the assumptions of regression as well. It'll enhance the statistical clarity of the video. Ignoring skewed residual in dependent variables, multi-collinearity in multiple regression can lead to false positive results.
Agreed. I will surely do a detailed video with assumptions as well.
Thank you prof. Is it SPSS, bluesky, and jamovi are adequate for PhD thesis?
Any software is fine. The focus is on analysis not the software.
Excellent presentation dr
Thanks. I am glad itbwas helpful
Thanks a lot
Thanks for watching.
Nice Sir.
Thanks Dr. Vimal. Appreciate it.
Sir, please make a detailed video on Inner and Outer Vif and how can we interpret their significance.
Thank You.
Hopefully soon
Can You tell me about Vif value?
VIF values are to assess the Multicollinearity. Normally recommended is that they should be less than 3
@@researchwithfawad Thank You Sir