I'm probably the only one here because I'm a writer and I'm trying to use this term in lyrics I'm writing. Please tell me if this even makes sense with the way I'm using it. Pico I need you I pray that you're here with me I cannot overcome this collinearity Pico is a friend of mine that recently took his life and when trying to rhyme "Pico I need you I pray that you're here with me" I couldn't think of a way to rhyme the end of the next line so I got on a rhyming website and the term Multicollinearity or collinearity rhymes perfectly with the line before it so I was trying to find a way I could possibly use it that actually makes sense and doesn't make the smart listeners think "wtf is he talking about?" lmao
With just two independent variables, yes, but if you have more than two independent variables, you need to consult the tolerance levels; they need to be higher than .10
so in a nut shell if i had y= family income, and had some constant value, then beta 1 = husband income and beta 2= years of education of husband. you have multi collinearity because your basically double counting the same effect because husband income is strongly correlated with husband's years of education? so to fix you either have to combine the variables or drop one? thanks in advance for any help people :)
2023 lol this video is still worth to watch
What should be the correlation threshold value based on which we determine the highly collinear variables?
>0.7
I'm probably the only one here because I'm a writer and I'm trying to use this term in lyrics I'm writing.
Please tell me if this even makes sense with the way I'm using it.
Pico I need you I pray that you're here with me
I cannot overcome this collinearity
Pico is a friend of mine that recently took his life and when trying to rhyme
"Pico I need you I pray that you're here with me"
I couldn't think of a way to rhyme the end of the next line so I got on a rhyming
website and the term Multicollinearity or collinearity rhymes perfectly with the
line before it so I was trying to find a way I could possibly use it that actually
makes sense and doesn't make the smart listeners think "wtf is he talking about?"
lmao
😂 probably. Do you suppose he still checks this video? Also sorry for your loss
With just two independent variables, yes, but if you have more than two independent variables, you need to consult the tolerance levels; they need to be higher than .10
Wow! Understanding in 2 minutes. Thanks!
i just wanna slap that person so hard who introduced Econometrics subject.... God it is so difficult... i am cryingggg :(
Thanks for this helpful video!
Simply explained!!!
so in a nut shell if i had y= family income, and had some constant value, then beta 1 = husband income and beta 2= years of education of husband. you have multi collinearity because your basically double counting the same effect because husband income is strongly correlated with husband's years of education? so to fix you either have to combine the variables or drop one? thanks in advance for any help people :)
Adam Eu thanks mate. You saved my 5 minutes😛
still don't get it :(
very clear! thank you so much.
Wonderful explanation, thank you very!!!
Superbly done!
thank you so much.........
Thank you so much!
So, if there is a significant correlation between two or more IDs, but the r is less than .9 or .8, we shouldn't worry about it?
Thank you!
Nice
Plz tell me about Urdu econometrics videos
so good to know!
what is beta weight??
It the coefficient of X when we predict Y