Multiple linear regression using R studio (Aug 2022)

[@drryangagnon]

Mike, again excellent work. I was preparing some materials for my multivariate students to review, and this is just what I had in mind.

[@mikecrowson2462]

Thanks so much, Ryan! Have a terrific class!

[@peternaumann9983]

Awesome recap before linear models II!!! Thankyou Sir

[@JamesMendoza-p2l]

It has been a while since I last used R Studio, so I watched this a a refresher. It was super helpful. Just wondering if you have a walkthrough of a dataset that include a categorial variable.

[@remyxi]

I think it would be significantly more useful if we can have a case-study-like tutorial/walkthrough so everyone can see your analysis method and conclusion. Btw, I learned some new things from this video too nevertheless, thanks!!

[@MA-ib2mb]

Hi Crowson, Could you please send me the link for the RStudio program you use in this video, to install to my Windows 10 laptop?

[@maryamfereidouni-tx8sk]

For some packages (except psych and car) I have difficulty installing. What should I do?

[@oo-fk3cn]

Get error in function vcm

[@oo-fk3cn]

What should I do??

[@galax3017]

get error on : cor.test(df,use="complete.obs",methods="pearson",adjust="bonferroni") Error in cor.test.default(df, use = "complete.obs", methods = "pearson", : 'x' must be a numeric vector

[@mikecrowson2462]

Check the variables being correlated to make sure they are not factor or character variables. Your variables should be integer or numeric. You can use the str() function to see what types of variables you are correlating.