Multivariable Linear Regression in R: Everything You Need to Know!

The world is complex and messy because multiple factors constantly affect each other. That’s why univariable models fail to describe complex relationships. In this video, we’ll explore multivariable models, which provide a more accurate representation of reality. Expect to learn how to effectively visualize model results, how to extract the most knowledge out of multivariable models, how to interpret the model correctly, and much more.

If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.

Enjoy! 🥳

Welcome to my VLOG! My name is Yury Zablotski & I love to use R for Data Science = "yuzaR Data Science" ;)

This channel is dedicated to data analytics, data science, statistics, machine learning and computational science! Join me as I dive into the world of data analysis, programming & coding. Whether you're interested in business analytics, data mining, data visualization, or pursuing an online degree in data analytics, I've got you covered. If you are curious about Google Data Studio, data centers & certified data analyst & data scientist programs, you'll find the necessary knowledge right here. You'll greatly increase your odds to get online master's in data science & data analytics degrees. Boost your knowledge & skills in data science and analytics with my engaging content. Subscribe to stay up-to-date with the latest & most useful data science programming tools. Let's embark on this data-driven journey together!

[sha]

I am a PhD candidate and I am using these models in my data analysis. Great video so far on this topic!

[demigod]

This is gold. Thank so much Sir for sharing this valuable knowledge ❤

[tom_hoel]

Incredible work! Thanks :) Could you please deepdive into tidymodels too?

[Featherlicht]

Hands down some of the most informative videos that exist on Linear models. Very concise too ! Thank you 🙏

[chacmool]

1:12 It gets worse. In the context of ANOVA you have 'factors' for categorical independent variables and 'covariate' for numerical ones. 😢

1:50 yeah, performance::check_model() is the bomb.

[ahmedelkoumi]

Great and to the point. Thanks!
I'd like to see you explain some topics like propensity score matching, multiple imputation, and principal component analysis.
I guess that would be fantastic if you present them in a such elegant way.

[Positive_musician]

Outstanding! Thank you so much for putting so much effort in these educational videos!

[faisalaziz]

Fantastic and concise content as usual with elegent explanation! Keep up your great work!

[leno]

Hi, thanks again for this great video. 
I really enjoy your explanations, but your blog was much more useful for quick access to concentrated information.
Videos are very helpful to understand from scratch, but seeing important screenshots in your blog quickly during a time-sensitive project is very important. 
Plus, Koji is also down.

[soylentpink]

Very good explanations! Very good visualizations! Great - thank you!

[kellycriterion]

Great work. Please do videos on Survival Analysis in R as well😊

[hendrikpehlke]

Wow! One of the best videos I have ever seen. Vwer informative.

[YHVN]

This is super cool! Best rstats content on YouTube! Will you show multivariate (multiple outcomes) next?

[NiiKotey_Major]

Hi Prof/Dr. Yury, I really love your videos because they are very intuitive. Please share how to analyse Likert scale questions using R. Thank you.

[rubyamanda]

Hi, I’m a new subscriber. Wow🎉I am glad you shared this! Thank you!

[moviezone]

You set the bar high sir, I am new to this channel but I found it highly informative and educational. Please can you share the code in pdf or some other means. How can I find you on githu. I am YBMengist from Ethiopia.

[staedtler]

i like equatiomatic package (EDIT i found it)
Thanks again for your efforts !

[alexandreb]

As usual: excellent class! Best content about stats on yt! But it is not possible to access the scripts via the link in the description (it is broken)

[tighthead]

Thanks for your content, this is super useful. How can performance be used with tidymodels glm models? Any examples you can point to please?

[faruqueazamwalid]

thanks a bunch!! I have a random question: how to add a proportional weightage to a numeric variable on the outcome variable in a lm/glm and visualise. It is much like giving the weightage to the sample size of each study “n” to the outcome. Much like meta analysis but it is a pooled analysis. Thanks in advance