Talk:Gauss–Markov theorem

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I don't understand the definition of the least squares estimators: they are supposed to make the sum of the squares as small as possible, but this sum of squares appears to be a random variable. Are they supposed to make the expected values of those random variables as small as possible? AxelBoldt 18:31 Jan 24, 2003 (UTC)

For fixed values of xi and Yi the sum of square is a function of βi for i=1,2. I'll add some material clarifying that. Michael Hardy 19:40 Jan 24, 2003 (UTC)

What does homoscedastic mean?

The term is explicitly defined in the article, but I will make it more conspicuous. It means: having equal variances. Michael Hardy 21:29 Jan 24, 2003 (UTC)

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