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Jamie_Bee
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I.
For every x, Y is normally distributed with mean A+Bx and variance σ^{2} .
ie, E[Yx] or μ_{Yx} =A+Bx, and v_{(Yx)}=σ^{2}

II
Y's are independently distributed

III
X's are fixed quantities, or used to predict Yvalues

IV
, where ^{} is called the variance for the error component

