Linear Regression in R - Full Project for Beginners

Linear Regression is a module used in statistics and data science to find patterns in data. This is an example of how to use R to create a linear regression model with a single variable and multivariable analysis. This is a complete project with examples and a walkthrough of all the steps of the data analysis process. It's far from being the most accurate method, but it's instrumental if some variables of your data are correlated.

Here we see linear regression explained with R programming using RStudio. The analysis goes through a data science project that is very easy and simple for beginners to replicate.

🔥 LINKS ——————————————————

📖 My Linear Regression Article on Medium:

⏰ Timestamps:

0:00 Introduction
1:21 Setup and structure
9:05 EDA - plots and insights
20:14 The selected variable for the model
25:44 Fit linear model
32:24 Residual analysis
38:27 Make predictions and evaluate their results
52:30 Multiple regression
57:35 Evaluating the multiple regression
1:02:15 Conclusion

[osmanjimenez]

Great video! This is what I was looking for. Very simple and accurate guide for those who already have the theory and want to apply it. Thanks for the content. Greetings from Mexico.

[Ashishsingh-pnsm]

Just Wow For Beginners, Thanks Alejandro

[osmanjimenez]

What would have changed if you had dropped off the variable "time on website" from the multiple regression model? the R2 changes? what about the RMSE and mape?

[Ashok-qxkr]

very informative...thank you for posting. would like to see what you have in store.

[deslinefavor]

how to get the file you are using pleae

[osmanjimenez]

Why there is no multicollinearity between the average session length and time on app? I thought those variable could be correlated.

[zerotohero]

brother do it in jupyter notebook in python

[aldoortizrodriguez]

Voy en el minuto 40 y no entendí nada, no hablo inglés