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y(i) = a + b1.x1(i) + b2.x2(i) + b3.x3(i) + ... + bk.xk(i) + e(i)where i = 1, 2, ... n are n observations of

the independent variables x1, x2, ... xk,

y is the dependent variable

a and the b are regression parameters.


The e are independent, identically distributed random variables (representing the error).

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Q: Linear regression model
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