You don't need LINEST! Multiple regression explained (Excel)

What is going on in the black box of LINEST or Data Analysis tab when you estimate a multiple linear regression model? Turns out, nothing too fancy! You can easily estimate the coefficients and standard errors of your model and calculate everything you need explicitly by just multiplying matrices and not relying on the Excel black boxes!
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You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7
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[@ashleighgonzales]

Gosh, your tutorials are SO good. Thank you!

I love your videos!!!! They are really pedagogic

[@deAraujoAndre]

Thank you very much for showing us this technique.

[@VnHrnz]

Thank you so much NEDL. Can you please make an example with the intercept set to 0 (linest(known_ys,known_xs,0,1) with matrix formulas?

[@lorenzianbonete7854]

Is the process you've shown still applicable if I have more than 16 independent variables?

[@aricanto1764]

Yes but you’ll likely mace lots of multicollinearity between your regressors which will essentially break the model. Instead, us dimensionality reduction or variable selection techniques. If u really really want to use all your variables then linear regression isn’t for you - use a regression tree.