Multicollinearity

[mreighthamburger]

oh man you should be my professor you know what watching your videos helps a lot more than my professor's lectures....

[_Anonymous_]

Ben is Da Bomb - made it from 1-60 videos so far, actually quite enjoy studying econometrics now xD Cheers Ben!

[tunahanuzun]

This video is crazily good! Never understood econometrics better, and it's actually making fun to study it! :)

[nonah]

Saving me right now with online classes. Thank you!

[pushypin]

Excellent presentation.  I'm watching your videos to better understand the quant section of CFA Level II.  Thank you Ben!

[Tinasheziki-fd]

Thank you doctor for the presentation especially exemplification

[spacedustpi]

Thanks for this explanation. So my understanding is that multicollinearity is only worth finding out if you want to know how much each attribute is contributing to the model. Which, if you want to be prudent, you should find out. So how would you find out? Run a regression twice where with one of the attributes held out in the first regression and the other held out in the second regression? Then compare the two results to determine which one has more effect on the sales? Thank you in advance.

[seanmenzies]

Very well explained and demonstrated. Many thanks.

[AbdulAziz-gtoo]

Thank you! its so helpful, the explanation is easy to be understand.

[moobadaa]

Hi Ben. I am trying to watch the videos based on the order in the playlist. But you've not talked about R2 and significance level yet and now are using these concepts!

[dandorsano]

You're awesome Ben! Very helpful videos

[danielr]

Youre Videos are great short but well explained !

[tmuffly]

Dr. Lambert, I really enjoy your videos. I have two continuous variables: rcs(Age, 5) and rcs(GRE_score, 6) that I relaxed the cubic splines on and now I a getting huge VIF values for each of those variables. Does VIF work with variables that have relaxed cubic splines please? Thank you for your important work.

[amitrv]

Hi Ben, which software do you use for these illustrations?

[siddharthadas]

Hi Ben your explanations are really good. Do you have any videos on multilevel or hierarchial modelling explaining the math of it?

[OutperformMP]

Can someone explain why the standard errors for the B-coefficients are getting bigger because of the multicollinearity?

[chh]

Hi, Ben, it's really helpful.
But I was wondering if we need to check the multicollinearity for variables like dummies and time trend. Because I suppose for example dummies for structural break should be highly correlated to some variables and that is the point of using them, right? and same for time effect.

[MeghanaHM]

Why does this occur only in regression problems and not in classification ?

[spikeymikey]

Thanks for answering my previous question. I was wondering if you could answer my question which is related to multicollinearity. The question gives you 4 auxillary regressions. One of them is... logX1 (t ratios) 0.96 (2.56) -0.83logX2 (3.49) 0.95logX3 (5.66) 0.6logX4 (3.79). I presume the parentheses are standard errors. But how do you perform an f test on that to confirm multicollinearity (related to previous part of the question).? Your help would be greatly appreciated!

[gesaffelstein]

will the estimates of Beta 1 and Beta 2 be unbiased or biased?
Thanks for the great video.