R5. Regressions with Categorical Explanatory Variables (Econometrics in R)

[rowan]

Thank you for this, I've been having issues with linear models and this video helped me understand how R works with categorical variables which I had been thinking about all wrong. From 12 years in the future, thanks a ton :)

[donnyz]

I can see everything just fine. Good videos on R, precise and useful. Love to see more.

[OnAFirefly]

good video. The only issue I had was that I had a little trouble hearing you--I had to have the headphones on and the volume up pretty high.

[Bubba]

Thanks for this, this was really helpful. A question, how do you "extract" and formulate the coefficients in "lay-terms" resulting from a linear regression. I work in biomedical research, so when looking at a linear regression (dv = continous) and I plug in an iv that's categorical, I'd like to know what for ex. a coefficient of 22 means of the cat-variable=yes. Further, is it even possible to extract something like odds or odds ratios, when the dv = continuous? Thanks again for a very good explanation and showing of the trick on how to do a regression on a datasubsets by including the matrix-argument! Oh and if you could explain the difference between linking to variables with eachother by using the syntax " : " or " * ", that would be great. Thanks a mill.

[adityapuri]

Your videos are amazing...Thank you for this. Can you tell me how to compute the R-square for a Logistic regression in R

[hwcq]

Thank you so much! If the categorical variable has n possible values (n>2), do I need to create n-1 dummy variables?

[indgiu]

great videos, but you need to improve the quality because it is very hard to see what you do, but keep 'em coming!

[dchakraborty]

Thanks . But
why does the categorical variable Female have no parameter estimates?

[testtesttesttesttest]

Why don't you just use the keyboard shortcut to run the code rather than click through everytime?