Using the non-parametric bootstrap for regression models in R

Note (Sept 2019): New link to data datadryad.org/...
This screencast continues the discussion and tutorial of using the non-parametric bootstrap for statistical inference, in this case for regression models (and the general linear model more generally).

[@sebastiankian693]

This video literally just saved my ass with my assignment, thank you!

[@daviddi7224]

Thank you this was very helpful. How would you change the code for a small categorical variable (i.e., 0 = healthy, 1 = diagnosed disease) with only a small amount of confirmed diagnosed (i.e., 1s)? For example: There are 2000 participants and only 50 cases of cancer, 1500 healthy, and 450NAs.

[@vivianlondono2666]

When i was doing the regression by the bootstrap method I had a big difference in some variables compared to the normal regression that may be due ?

[@supreetisaha1630]

Its very helpful. But where can I get the R-script of your programme?

[@belkisaltendji1249]

Hi, I need help please, I required for car pacadge, but the abswer was that there is no package , what should I d plz?

[@iandworkin1347]

cran.r-project.org/web/packages/car/index.html

[@hariadhikari6437]

Is there a way to find those script

[@iandworkin1347]

I hope to put them all up on github soon). I have not taught this class since 2014 (and these videos are several years older than that).