Linear regression, sources for this wikipedia link

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The discussion centers on the appreciation for the derivations of linear regression found in the provided Wikipedia link. Participants express a need for reliable resources, specifically books, that cover these equations comprehensively. There is a shared frustration with the difficulty of finding clear explanations online. Suggestions for books that effectively teach linear regression concepts are sought. Overall, the conversation highlights the importance of accessible educational materials for understanding linear regression.
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Thread 'Hypothesis testing: Defining H0, HA hypotheses so that ( H_A)_A' makes sense'

The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...
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