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Mathematics, 08.11.2019 03:31 Crxymia

Consider the multiple regression model y = xβ+∈. the gauss-markov conditions hold.
answer the following questions:
a. show that the least-squares estimates can be expressed in the form \hat{\beta} = β +a∈. what is a? show that the fitted values can be expressed as \hat y = β + what is b?
b. show that the error sum of squares can be expressed as sse = \epsilon^{'} (i - h) \epsilon.
c. show that e'x = 0.
d. show that e'\hat y = 0

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Consider the multiple regression model y = xβ+∈. the gauss-markov conditions hold.
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