Understanding Multiple Linear Regression

With video explanation | Data Series | Episode 4.4

Mazen Ahmed

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We have taken a look at Simple Linear Regression in Episode 4.1 where we had one variable x to predict y, but what if now we have multiple variables, not just x, but π‘₯₁,π‘₯β‚‚ and π‘₯₃ … to predict y β€” how would we approach this problem? I hope to explain in this article.

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