Statistics 101: Multiple Regression, Stepwise Regression

[@SHEKHAR_GT_Fan]

Very helpful content Brandon. Thank a lot and keep it coming

[@varunkapoor1721]

Thanks, Brandon. Finally, the man behind making statistics easier than ever is on screen. Awesome conetent. Keep making more.

[@BrandonFoltz]

More to come! I have a face for radio. 🙃

[@desnamjp]

I never left Brandon! You are literally taking me through my doctoral program, my comprehensive exam and chapter 3 of my dissertation!!! Thank you, thank you, thank you!

[@BrandonFoltz]

You are very welcome Desna. I know you will do great, Dr. Jackson-McDonald.

[@FarheenMeraj]

I can't thank you enough for these videos. I've used these so much to learn and teach my own students ♥

[@maysamir1606]

Thank you for making the course of statistics so amusing !

[@skatebloomington]

Thank you! I'm not working on a project at the moment but I value the lesson.

[@rajanvk939]

Your content and explanation is very powerful. Highly appreciate your effort for providing such a valuable output for us. Just was wanna thank my heart. Will always stick to your channel to learn statistics

[@AtulKumar]

Hi Brandon, Thanks for the wonderful video. However, I have a doubt related to entry and exit of a predictor variables. For entry and exit of a variable do we have to look at the p value related to F statistics ( for the entire model) or p value related to t test ( related to individual variable) ?

[@brianxu3681]

The man behind the screen! Best video EVER!

[@prof.rocha-centrodeciencia8251]

Hello, I work with five regressors, I can build linear models using "lm", however, I haven't identified a package that does StepWise when some data is missing from one or another variable, making me sacrifice data from individuals who don't have all the measures . I've already used the methods in the stats and StepReg packages without success

[@charming661]

Thank you for great videos!!

[@simenandreasknudsen9272]

Hi, great series! Thanks a lot! Do you btw have any tips for a feature selection technique that selects covariates/features as long as the increment in R^2 is larger than delta ? Thank you.

[@aungmyohtut21]

Thank you so much. This helped me a lot.

[@latikasharma1477]

hello Brandon do you solve multiple regression in excel ? can you mention the steps involved.

[@cathycirina-chiu6972]

Hi Brandon, do you recommend testing each variable's relationship to the DV first, like say using T-test or Anova before considering using them in your model? And if so, do you have a video on this? Thanks!! I love your videos!

[@pinkhairedlily]

his earlier videos touched on this. you may check his playlist on regression topic on his channel.

[@gagandeepyadav187]

it took me 2 sec to subscribe you .... ur nameste took my attention

[@mohammedal-shamarti5825]

Very helpful content Brandon. Thank a lot and keep it coming (could you please, focus on the interaction between variables and the difference between interaction and the multicollinearity how we can eliminate it in a separate video)

[@Inireadsatnight]

Love the Namaste ❤

[@Parth-PBD-]

I have exam on this tomorrow, and you coincidentally uploaded it today

[@BrandonFoltz]

Awesome. Now go kick ass. 👍

[@lmwambetania]

Thank you professor

[@anushavelamuri9372]

Can step-wise regression be used for research studies of social science?? please reply asap

[@biggieb8900]

I'm a just now learning this to analyze chemical systems and engineering equipment, is this really considered basic statistics?

[@BrandonFoltz]

Hello! Yes, you will find model building methods in introductory statistics books. It would be considered "second semester" content but it is part of intro stats.

[@HellenofTroy897]

Hi Brandon, your videos have been the most helpful on KZbin. However, I think it's less distracting not to see the voice owner...we got far too used to your earlier way of presenting.