Weighted Least Squares: Solution Derivation

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This is a follow-up video to the previous one. Here we derive a solution that minimizes the cost function of weighted least squares, it is requisite that you watch this and the previous video before progressing with least absolute deviations.
Also note that W here is a diagonal matrix that includes the corresponding w_i factors from the sum.
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Why forget about the 2 of 2W and the "-" in -X in time 1:53?

ericksantos
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Hello, would you kindly explain why w is in the middle of the 2nd step? Thanks in advance!

RedGrant
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