sorry Ed van Stee there is no voice with your vedio of Heteroskedasticiteit White test
@edvanstee
8 жыл бұрын
Hi Muhammad Indeed, my students get the explication in my course. This video's are a brief overview from what I teach. I can create them much faster without voice, but maybe I should experiment with voice ;-) Because I teach in Dutch, the video's are in this language.
@khoerunnisa23245 жыл бұрын
what if i have 3 variabels? axbxc or axb axc bxc
@edvanstee
5 жыл бұрын
You need to have all possible combinations. If there are too much variables and you df is getting low you can replace the variables with the squared predicted values (e2= ꞵ0 + ꞵ1 ŷ2) ; this is called the reduced white test.
@sitaalvionita8925 жыл бұрын
What if I have 5 variabels ?
@edvanstee
5 жыл бұрын
You need to have all possible combinations. If there are too much variables and your df is getting low you can replace the variables with the squared predicted values (e2= ꞵ0 + ꞵ1 ŷ2) ; this is called the reduced white test.
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sorry Ed van Stee there is no voice with your vedio of Heteroskedasticiteit White test
@edvanstee
8 жыл бұрын
Hi Muhammad Indeed, my students get the explication in my course. This video's are a brief overview from what I teach. I can create them much faster without voice, but maybe I should experiment with voice ;-) Because I teach in Dutch, the video's are in this language.
what if i have 3 variabels? axbxc or axb axc bxc
@edvanstee
5 жыл бұрын
You need to have all possible combinations. If there are too much variables and you df is getting low you can replace the variables with the squared predicted values (e2= ꞵ0 + ꞵ1 ŷ2) ; this is called the reduced white test.
What if I have 5 variabels ?
@edvanstee
5 жыл бұрын
You need to have all possible combinations. If there are too much variables and your df is getting low you can replace the variables with the squared predicted values (e2= ꞵ0 + ꞵ1 ŷ2) ; this is called the reduced white test.