How to Use Multiple Linear Regression | Statistics Ep. 30

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. Real world relationships are complex, incorporating a whole bunch of variables that can influence a single outcome. Whether it’s the link between a child’s height and their age, or practice and ease of parkour moves, linear models are crucial for figuring out how one thing affects another. And with just a few tweaks, we can super-power linear models to incorporate as many variables as needed. This episode will show you how to do multiple linear regression, without falling into traps! __________________________________________________________________________ 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 1:07 - From One Input To Many In Linear Models 2:31 - Linear Models With More Than One Dependent Variable 5:06 - Google Sheet Example 6:14 - Adjusted R Square 7:23 - Multicollinearity 9:17 - Unstandardized Vs Standardized Coefficients 10:27 - How To Interpret Coefficients 11:22 - Conclusion __________________________________________________________________________ #StudyHall #Statistics #RealWorld __________________________________________________________________________ References: https://blog.sheetgo.com/finance-processes/how-to-use-xlminer-analysis-toolpak-add-on-for-google-sheets/ SOURCES: https://www.stat.uchicago.edu/~yibi/teaching/stat224/L02.pdf https://sites.pitt.edu/~jganger/LecNotes_MLR_GangerSRCD2023.pdf https://www.sjsu.edu/faculty/guangliang.chen/Math261a/Ch3slides-multiple-linear-regression.pdf https://www.colorado.edu/amath/sites/default/files/attached-files/lesson12_multregression.pdf