Understanding the Correlation Coefficient | Statistics Ep. 28

If you’re ready to start, restart, or continue your own college journey with Study Hall, go to https://link.gostudyhall.com/stats to join a college course that starts on YouTube for just $25, and unlock the opportunity to earn transferable credits from ASU. Correlation is everywhere, from parking issues when your favorite Swedish restaurant is packed to fertilizer usage and crop yields. We want to find these relationships and understand how they drive behaviors, but we /also/ want to know how strong those relationships are. Pearson and Spearman correlations can help you do just that… but they can also lead you astray if you’re not careful. __________________________________________________________________________ Follow us on social media! Twitter: https://twitter.com/gostudyhall Instagram: https://Instagram.com/GoStudyHall Facebook: https://www.facebook.com/GoStudyHall __________________________________________________________________________ Chapters: 0:00 - Introduction 0:55 - What Are Positive And Negative Correlations? 1:54 - Finding Strong And Weak Correlations 3:15 - Correlation Coefficient 4:52 - Correlation In Google Sheets 5:40 - Caveats About Correlation 7:32 - Non-Linear Correlation 9:34 - Explained Variance 10:59 - Conclusion __________________________________________________________________________ #StudyHall #Statistics #RealWorld __________________________________________________________________________ REFERENCES: https://www.statology.org/spearman-rank-correlation-google-sheets/ SOURCES: https://openstax.org/books/introductory-business-statistics/pages/13-1-the-correlation-coefficient-r https://www.cimt.org.uk/projects/mepres/alevel/stats_ch12.pdf https://websites.umich.edu/~gonzo/coursenotes/file6.pdf https://pages.stat.wisc.edu/~mchung/papers/R2.pdf https://www.bps.org.uk/psychologist/spearman-and-importance-archives https://www.howtopronounce.com/swedish/fiskbullar