Variance Inflation Factor Using Excel

This Video is about the manual calculation of Variance Inflation Factor that is used to find out appropriate input variables for ANN model.

[@victorqueraltespin1107]

Thanks for your help, wish you the best :)

[@jteague238]

Very clear and concise demonstration. Thank you!!!!

[@chee5987]

Thanks Creative Engineers! This is very helpful and clear explanation. Keep up the good work.

[@MrSupernova111]

I followed your instructions and compared it to SAS VIF output. Your calculations were on point. This is great because I do not always have SAS available to me. Thank you very much!

[@creativeengineers2467]

Thank you so very much...

[@sanjila1741]

Thank you so much!!! This was very helpful

[@raullopezvalle3083]

Very good video. Congratulations

[@ashleymalongowski1744]

Thank you so much!! Very helpful

[@williambuckstaff9741]

great video

[@bhavikdudhrejiya852]

Great video

[@Nono464.]

Helpful thank you.

[@steyely]

Thank you!!

[@meenakshidevi5425]

Really helpful

[@bryanharrycortez757]

Thanks. :)

[@Nelis1324]

Great video! Thank you so much! Just a quick question though:
in the process of creating the linear model, do you check for multicollinearity with VIF at the start on the imperfect model or do you do it on the final model where several variables have already been omitted based on their P-Values?

[@creativeengineers2467]

Dear Nelisje
Thank you for your nice comment
Actually in my model, initially I have calculated the VIF value for the individual variables and find the variable with higher to lower VIF value. Then I have made different input combination starting from the variable with higher VIF value. Hope you understand..

[@kusemererwadan6321]

Good video

[@jbutterfill]

hi, I could quite catch your comments at the very end when commenting on the VIF results - do you mean to say that a VIF over 3 is evidence of multi collinarity?

[@yurihung9244]

this is a great video . thank you!
im just wondering, for VIF is there any significance test / p-value output?

[@creativeengineers2467]

Thanks.. Appreciate...

[@kaushikjaman6639]

Thanks