Not-so-simple linear regression with R

Simple linear regression isn't so simple! We'll do a test/train split, build and diagnose a model, consider p-values, look for influential points, make predictions, compute root mean squared error, and more. This is a deep dive! If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!

[khalidmohamed]

Awesome ! clearly explained in a simplified way. Thanks, sir

[suprajm]

Very well explained, excellent teacher👌

[thiagobandini]

Initial split in content: linear regression building and evaluation AND training and validation sample sets 👏🏼👏🏼👏🏼

[erikvanhatalo]

You are doing a fantastic job in this video! I refer my students to many of your videos Sir! Cheers from Sweden!

[chessfighter-rg]

Thank you i am vey aspired to be data scientist i took datacamp course what you recommend how much i should deep dive into statistic

[haraldurkarlsson]

It is hard to find a dataset of the appropriate values to showcase linear regression. I have looked through a bunch of the toy dataset supplied with R and some of the addons (Modeldata, CarData etc). You need data big enough to split. Any suggestions other than airquality?

[munenedenis]

Please advise since am getting the following issue, I have already installed the tidymodels package "library(tidymodels)
Error: package or namespace load failed for ‘tidymodels’ in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]):
namespace ‘rlang’ 1.1.1 is already loaded, but >= 1.1.3 is required
In addition: Warning message:
package ‘tidymodels’ was built under R version 4.3.3 "

[yourivyleaguegirl]

I'm getting error in library(tidymodels)=not found and also in "initial_split" not found

[yourivyleaguegirl]

How do you download air-quality files?