The Differences Between Correlation and Regression Statistics Tutorials

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http://youtube.com/watch?v=qA-x72ju2kM

👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/3oCeA13 • 👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/2Tx4RuK • In this tutorial we explain the four main differences between correlation and regression. • For example, correlation measures the degree of relationship between two variables. Regression analysis, on the other hand, is about how one variable affects another or what changes it causes to the other. • Furthermore, correlation doesn’t capture causality but the degree of interrelation between the two variables while regression is based on causality. It shows no degree of connection, but cause and effect. Interesting, right? • Watch the whole video to learn more about the distinctive features of correlation and regression analysis! • ► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScie... • ► VISIT our website: https://bit.ly/365ds • 🤝 Connect with us LinkedIn: / 365datascience • 365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. • We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online. • Check out our Data Science Career guides: • How to Become a... (Data and AI Caree... • #Correlation #Regression #Statistics

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