Linear regression using R programming

Simple linear regression models using R programming doesn't need to be scary. This video will take you through the basics of how to interpret linear regression results and the code needed to do the regression models. If you are learning regression modelling or just learning statistics and quantitative analysis then this is a good place to start. Data science and research often address questions by looking at how much of a change in one variable can be explained by a change in another. Linear models are used to answer this question. They can also be used to predict the value of one variable given the value of another. I also go through how to use the predict function in R.

[muhammedhadedy]

No words can thank you enough for these videos. You are the best R teacher I've ever seen.

[xAccident]

Thanks! I haven't programmed in R in roughly two years, and I needed to catch-up on programming in R Studio for a university project, so your video was excellent for that purpose. Appreciate your content.

[huyquach]

Thank you very much for your easy-to-understand videos. Appreciate your time as well.

[paulinaandrade]

Thank you! you are great at explaining the concepts and applications on this type of analysis and you also make it so easy to learn how to use this information in R data analysis! Please keep making more videos!

[yazzya]

I absolutely love your material. It's helping me get out of using stupid SPSS and into R.

[andresrengifo]

Simple, practical and with R...thanks

[PeloquinDavid]

I came here mostly to brush up on my OLS syntax in R, particularly what kinds of data objects (vectors/matrices, data frames, etc.) the function expects to see. (It's the kind of thing that easily slips away from me if I'm not constantly using the software...)

I know this is a simplified explanation (and a good one too!), but in a model like this, if the intercept term were statistically significant at conventional cut-off levels (it isn't here), it would be evidence - along with things like asymmetric residuals - that the model was mis-specified (i.e. that it didn't capture the theoretically plausible functional form of the relationship).

No doubt other videos in the playlist will go into how to detect mis-specification and what kinds of changes to the model might be warranted.

[oscarsibanda]

Awesome, I’m working on a R project & your videos are a great help.

[legiegrieve]

Thanks for this video. well explained 🤩 You posted this in 2022 and I am benefitting in 2024. 😍

[BulLiT]

Thank you so much 🙏 I'm always looking forward to seeing your videos. It's always very very understandable

[domillima]

I am already subscribed and like each of your videos that I watch. Sincerely, if there was a SUPER LIKE, no one would deserve it more than you. Cheers on the fantastic content and your natural teaching ability.

[evaashby]

This good stuff! Thank you. Great explaining of what regression is and what each part of the formula means! Thanks a million!

[muhammedhadedy]

I would like to ask you - when you explain logistic regression - that you would make a video on multiple logistic regression.
I believe you would explain it very well.

[gianluca.pastorelli]

Another great video! Looking forward to watching your R Markdown tutorial

[pipertripp]

Great vid. I've been working through the famous ISLR for a few months now and it's nice to revisit the earlier material with a great video like this. It's good to follow along and to try to anticipate where you're going with it. Just shows that even if you're not completely new to the subject, videos like this can be very helpful.

Looking forward to the markdown video. I've been creating R notebooks for my own learning and they're great.

[kukuab]

Thank you
I can’t wait to see your next video 🙏

[iancg]

Awesome video! I hope you could do one on multiple regression, specifically about model building strategies since that’s not really well discussed in texts. Thank you!

[haraldurkarlsson]

I am looking forward to the presentation on RMarkdown. Hope you explain the difference between R Note book and RMarkdown!
Thanks!

[oromokomacharles]

Thank you for the precise videos giving very clear explanations on each step to be taken. Please do a tutorial on Factor analyses (PCA, PCoA etc).

[Victoriataieb]

Great toturial, NOW I got what's going on