Mastering Multiple Linear Regression: Projection & Idempotent Matrices Explained 📊
Discover how least squares estimates in multiple linear regression project data onto subspaces, ensuring the best fit. Learn about projection and idempotent matrices to deepen your understanding of regression analysis!
statisticsmatt
878 views • Jul 20, 2020
About this video
Here we show that the least square estimate for XB is the closest vector to the data vector y. Help this channel to remain great! Donating to Patreon or Paypal can do this!
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Video Information
Views
878
Likes
17
Duration
12:29
Published
Jul 20, 2020
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