Derivation of OLS coefficients

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The simple maths of OLS regression coefficients for the simple (one-regressor) case.
  1. William Sundstrom
  2. Doceri economics
  3. econometrics
  4. regression
  5. OLS
  6. coefficients
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Комментарии
Автор

Clear and to the point. I'm going to be referencing your videos for my econometrics class! Thank you so much!

averymojica
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ooooh god ... you saved my degree sir!!!! hats off!!

amritraj
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Sir you are great !!
Very easily explained such a complex derivation..
😍😍

preritgoyal
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This is the one that finally made it click. Thank you

trchri
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Best regards to Mr.Mathematics...thank you

GRRM-bv
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well, Explained what books would you you recommend for econometrics?

kundananji.simutenda
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On 12:00, how did the sum of xi-yi - n*mean(x)*mean(y) turn into the second last row? Didn't quite get it. Thanks in advance

darkhansaidnassimov
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Would you take the same steps for the OLS estimate of Beta-hat2 if there was another slope estimator of Beta-hat2 in the regression line?

quinnpisani
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Excellent explanation. There is just one step that I'm not 100% convinced about. No doubt this has to do with my own ignorance about summation. In the part where he solves for b_0 I can't quite see how he goes from Sigma (b_1 * X_i) to (b_1 * n * mean(X)). With my limited understand I would have thought it should be (b_1 * n^2 * mean(X)). He calculates n but I'm thinking it should be n^2.

paultoronto
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How we can obtain intercept and slope of B0 and B1 after shifting line l to l'

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