Understanding the Summary Output for a Logistic Regression in R 

Videos like these make youtube statistically significant in our life! this is Gold...

literally the most anxiety inducing audio

This type of video is Gold dust...thanks!

Have been stock for a couple of hrs trying to figure how to explain statistical significance of my data and you solved everything in less than 7 minutes. Thanks!

Excellent job explaining the base categories. I have watched a lot of tutorials and this one by far does the best job explaining what is a 'higher'/baseline category. I think many people get confused with that and there is actually not much about it out there that is being explained. I wish I saw more videos about how do we know what category (for dependent or indecent variable) R is showing us in those tables. Thanks again for filling that gap!

next time when you record a video please make sure all other external objects are put to silent. so much of external noise. Phone kept vibrating, and whole lot of other sounds.

Thanks Jeff..it was useful for me.. Pls add some more details like backward selection with more categorical parameter ,Best Fit model,anova test, validation etc.

This is a brilliant explanation

3:42 goodness of model

The model diagnostics was very helpful

I have a question please, because it is (-2.9075 x church), so church variable needs to be minus so that we get plus the result which means the less we go to church, the more happy our marriage is, is that true

Is there a video for the raw data and the steps you followed to do the actual analysis that generates this output? would be great if we can see both videos!thanks!

Hi Jeff. Thanks for the excellent explanation of the summary output. Could you please explain the meaning the 'Number of Fisher Scoring iterations: 5'? In addition to a technical explanation, an intuitive explanation would really be helpful. Regards, Abhishek

I hate this phone vibration

Thanks! What about lrm coefficient outputs? There is no intercept and if your formula is 6 dependent variables ~ 2 independent, there are 6 + 2 coefficients?

What would be the interpretation if I found the difference between the deviances is zero??

Thanks for the video, can u explain what is the significance of Fisher Iterations in the output?

I think at the end of the video you say that it reduces statistically significance and find it a bit confusing, I think it actually increases the significance because it reduces the probability of finding this data by chance, and so increases statistical significance relative to the simple model

Hello There is one question. How (more detailed) do you interpret the given coefficients talking about odds/log odds and probability. E.g., an increase of 1 unit education (let's say this is a year) has XX effect on being happy in mariage. Is it 1 unit education increases happyness by XX percent? Oder the probability to be happy? I hope you get my question there, I am already confused ^^

How to find f value from the glm model

How the null deviance calculated as 79.763 & Residual Deviance calculated as 49.268

I'm trying to make an estimated logistic equation out of this though. with y , x, b0,b1 etc.

Thanks, finally the finer details explained.

I would be good to explain the dataset up front. Good work anyway.

Do you have a definition of the deviance residuals in greater detail?

Thanks a lot Jeff...!! :)

thank you very much for this short recapitulation

how would i make a graph for something like this tho

Hi Jeff, great little tute. Thanks a lot. Is there any R function which can run multiple glm fits using all combinations of independent variables in a data set to find the optimal logistic model for a given response variable. I.e. a function which indicates the model that Minimises Residual Deviance?

thanks, super helpful for R novice

if you got limited time play at x1.25...plug

Thanks for the information.

is it possible to include a CLASS statement like sas in R logistics Regression? Thx. Nice vid by the way.

Great, Sir. I want anova(glm)

How do you interpret the coefficients of splines used via the ns() function? stackoverflow.com/questions/65620624/interpretation-of-cubic-spline-coefficients-in-r

Thanks a lot

Very helpful, thank you!

Too fast! Can you explain it slower and more thoroughly in layman terms in another video, please?

All these sounds of your phone, microphone, etc.. destroyed these usefull informations you tried to transmit

Very irritating background which loses the good work you are trying to do!