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March 22nd, 2013, 04:13 PM   #1
Joined: Mar 2013

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Expected Value

Hi, I am all new to that regression stuff.. I want to know in a linear regression what E[beta_hat|X] means in comparison to E[beta_hat]. I know one is called the conditional and the other one unconditional.. Does this mean that the unconditional refers to the total population and the conditional when we consider X as fixed in a small sample? How can we think of it as a total population, total of what? Or I mean, is this if we had theoretically all data available and do a regression? So then the conditional means that we have only a tiny sample of the population and do a regression? *confused*

Thanks, M xxo
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