1. !--- Which of the following assumptions is not needed for 3 to be an unbiased estimate of the population parameter 3 in the regression model y = a + B₁x₁ + B₂x₂ + U₁ where a is the intercept term, B is the slope parameter, and u is the unobserved error verm? A. The variance of the error term is homoskedastic, i.e. var (ulx₁, x₂) = 0². (B) The variable, x₁ and x2, are mean independent of the error term. E [ulx₁, x₂] = 0. C. No perfect collinearity D. We have a random sample of size n from the underlying population

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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1.1 -- Which of the following assumptions is not needed for 3 to be an unbiased
estimate of the population parameter in the regression model
y = a + B₁x₁ + B2₂x₂ + Ui
where a is the intercept term, ß is the slope parameter, and u is the unobserved error
Jerm?
A. The variance of the error term is homoskedastic, i.e. var (u|x₁, x₂) = 0².
B The variable, x₁ and x2, are mean independent of the error term. E[ulx₁, x₂] = 0. m
C. No perfect collinearity
D. We have a random sample of size n from the underlying population
Transcribed Image Text:1.1 -- Which of the following assumptions is not needed for 3 to be an unbiased estimate of the population parameter in the regression model y = a + B₁x₁ + B2₂x₂ + Ui where a is the intercept term, ß is the slope parameter, and u is the unobserved error Jerm? A. The variance of the error term is homoskedastic, i.e. var (u|x₁, x₂) = 0². B The variable, x₁ and x2, are mean independent of the error term. E[ulx₁, x₂] = 0. m C. No perfect collinearity D. We have a random sample of size n from the underlying population
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