High pvalues support the null (business as usual) hypothesis. Low pvalues support the impact of variables on dep variable. So she's pulling low (not significant) variables out in an attempt to explain what is driving the R squared (what is causing that 84% explanation).
At 10mins 25 seconds why are you highlighting a p value of 2.9 and stating it is significant? - I am new to this, but I thought p values were only significant at 0.05?
Very Simple yet an effective way of learning backward elimination
the click sounds are SOOOO annoying... i have to quit this video.
That is the most annoying mouse click I have ever heard.
Thank you so much for uploading this video... its the most useful video i came across on multiple regression... 💯💯
Very clearly explained! Thank you.
This is really helpful for my Machine Learning study. Thank you!
Thank you
can someone explain to me how p value is calculated in this context? I would appreciate the formula
Still I can't understand why she is eliminating the columns ....
High pvalues support the null (business as usual) hypothesis. Low pvalues support the impact of variables on dep variable. So she's pulling low (not significant) variables out in an attempt to explain what is driving the R squared (what is causing that 84% explanation).
At 10mins 25 seconds why are you highlighting a p value of 2.9 and stating it is significant? - I am new to this, but I thought p values were only significant at 0.05?
Its 2.9x10^-8 not 2.9
Hi! Great presentation. Please lose the mouse-click sound. IMHO, it is more distracting than helpful.
$0.02