Statistics 101: Linear Regression, The Very Basics 📈

This is the first Statistics 101 video in what will be, or is (depending on when you are watching this) a multi part video series about Simple Linear Regression. In the next few minutes we will cover the basics of Simple Linear Regression starting at square one. And for the record, from now on if I say "regression" I am referring to simple linear regression as opposed to multiple regression or models that are not linear.

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· Slide images
· Video transcript (US English)
· Slide time-code links to YouTube
· Note-taking space for study
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· Bookmarked Navigation (Playlist Video Companion)

Statistics PL14 - Simple Linear Regression: https://www.youtube.com/playlist?list=PLIeGtxpvyG-LoKUpV0fSY8BGKIMIdmfCi

Regression allows us to model, mathematically, the relationship between two or more variables. For now, we will be working with just two variables; an independent variable and a dependent variable. The truth is, when we talk about how "good" a regression model is we are actually comparing it to another specific model. Oftentimes, students do not realize this.

So in this video, we are going to talk about that idea. I will also begin introducing basic terminology and concepts that will carry you through your work using regression. There are no formulas or calculations in this video. We are just introducing the underlying meaning behind "good" regression models.

So if you are new to Regression or are still trying to figure out exactly what it even IS...this video is for you.

So sit back, relax, and let's go ahead and get to work.

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#statistics #regression #machinelearning

Видео Statistics 101: Linear Regression, The Very Basics 📈 канала Brandon Foltz