Advanced Regression - Categorical X variables and Interaction terms

See the whole regression series here:

[leosizaret]

Your videos on regression are amazing! Interesting, clear, very informative, you the stats & intuition behind regressions into something fun to lose oneself in :D

[petercrooks]

One of the best explanations of the Dummy Variable Trap and how to circumvent it!

[hitm]

This video was exactly what I needed. Clear and thorough. Keep it up!

[arushibhattacharya]

These videos are a godsend. These are going to save my life for my massive regression analysis research paper. Thanks for the great content!!

[danielalonso]

20:08 you should also take into account that being in cat4 gets you -0.390 so apart from adding 0.123 of the pink slip, you should subtract 0.390 fro being in cat4

[benflis]

Thanks. My professor threw this into the review of SLR and MLR (which we didn't originally learn), but he didn't explain it very well. This video was a big help

Edit: and by "this, " I mean interaction terms

[jovial]

Love the excitement of the pink slip variable becoming significant lol 9:55

[bernardosangir]

I love your videos, especially this video has given me the insight on explaining a regression model with interactions which I have struggled with a lot. Thank you so much

[ivangarcialaverde]

You explain 100 times better than my statistics teacher, you've just save my exam, thanks a lot !!

[jasminepandit]

Thank you SO much for this series! Best I've seen on YouTube so far!

[PunmasterSTP]

Categorical X? More like "Certainly the best." These videos rock!

[shashankkhare]

Hi Justin, hope you are doing great! I love your videos and have been following them on your website as well. I have one doubt in this video. At 3:48, where you added pink slip variable, you say that having a pink slip increases the price by 15.6% as coeff for pink slip is 0.156. I am confused here as y is logged and when y is logged and x is not, general interpretation is that 1 unit increase in x means exp(coeff)-1 percent change in y. Please help me understand where I am going wrong. Thanks :)

[kanchangupta]

iam totally sold by ths video. i mean your teaching pattern is totally upto par. please make some videos on logistic regression, random forest, neural network and clustering as well.

[azizsakr]

Thank you for the interesting videos.
I think there is a little bit confusion in the interpretation of the resulting coefficients. The change in one of the independent variables holding all the others constant does not mean increasing the dependent variable by the same percentage. Please check an example of this at 11:28

[houlipouli]

how did I not see your videos in 5 years *sight* i would have gone through uni so much easier!!

<3 thanks for your effort

[cravenhealth]

"15-35, well, they're the shit boxes aren't they?" lol

[rrrprogram]

Change ur channel name to "zstatistics for machine learning" you goona soon have million subs

[thetolife]

Sir, you are amazing. Thank you for making these videos.

[crock]

In doing an actual analysis, would you still add the pink-slip coefficient to the pink-slip x cat4 interaction even when the pink slip variable alone is not statistically significant?

[garyabrams]

This is probably a very basic question - you added variables to get the final price of your car at the end of IVb that were not statistically significant - why - thanks gary