Binary logistic regression using R: Analysis and interpretation

This video provides provides a basic introduction to carrying out binary logistic regression in R. It covers the use of continuous and factor variables, likelihood ratio tests, and pseudo-R-squares. A copy of the data, the text file, and Powerpoint can obtained here (drive.google.c..., here (drive.google.c..., and here (drive.google.c....
More videos and resources on multivariate statistical procedures can be found here: sites.google.c...

[@juanignaciolopez9619]

There is no better online explanation of logistic regression in R than this one! Thanks!

[@mishudhar3746]

Thank you so much, Sir. It helped a lot.

[@alecroth8764]

Rock on Mike! Great video!

[@mikecrowson2462]

Thanks, Alec!

[@MaryamBanoo]

thanks, it was great. plz answer Aliu Omotayo.

[@astiinayatimagfirah1094]

Please upload video about fixed effect panel regression using first difference approach

[@msds2930]

Hi Mike, what an overwhelming video thank you! I have a question, in your updated 'fit,' p-values of genderid 1, income 2, and income 3 are above 5% thus, telling us that we have to discard them in the final 'terminal' model. Moreover, in the Likelihood ratio tests of the predictors you learnt that these same factors are rly insignificant. Here's my question: will these 2 steps always have parallel results (like what happened in this example) and can be said as redundant procedures, or it isn't always? Again thanks

[@aliuomotayosikiru6154]

Please I have analysis of deviance which gives this result.
1. Deviance = 60.798, pr(>Chi) =0.000001562.
2. Deviance = -24.922, pr(>Chi) =0.000353.
Please which one can I choose??
Also, can deviance value be negative??
Your response will highly be appreciated.

[@laxmanbisht2638]

Prof Mike, should not we use family = "logit" syntax for logistic regression? Please correct me if I am wrong.