The Gaussian Standard Classical Linear Regression Model Assumes------- Assumptions

Q1: the regression function E(Y/Xi)=?1+?2Xi 2 is linear

Q2: E (Y/Xi) = f (Xi) is known

Q3: The sample regression line obtained through the

Q5: "the descriptions be kept as simple as

Q6: the method of ordinary least squares is

Q7: conditional mean of Y given X value

Q8: the regression function E(Y/Xi)=?1+?2Xi is a<br>A)linear regression

Q9: in the function Yi= ?1+?2Xi+ui, the term

Q10: in the function Yi= ?1+?2Xi+ui, the term

Q11: in the regression function E(Y/Xi)=?1+?2Xi , ?2