Suppose that the data points (x;,y;), i=1,2,...,n, fit an intercept-free linear regression model Yi = Bx; +E;, if i = j where E (ɛ;) = 0 and Cov (&¡, ɛ;) (0

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Suppose that the data points (x;,y;), i=1,2,...,n, fit an intercept-free linear regression model
Yi = Bx; +E;,
if i = j
where E (ɛ;) = 0 and Cov (&¡, ɛ;)
(0<p< 1) for i, je{1,2,...,n}.
lpo?, if i+j
(a) Carefully and clearly derive the least squares estimator for the slope B.
(b) Clearly show that the estimator you just obtained in part (a) is unbiased.
(c) Find the variance of the estimator you just obtained in part (a) for the case where p = 0.
Transcribed Image Text:Suppose that the data points (x;,y;), i=1,2,...,n, fit an intercept-free linear regression model Yi = Bx; +E;, if i = j where E (ɛ;) = 0 and Cov (&¡, ɛ;) (0<p< 1) for i, je{1,2,...,n}. lpo?, if i+j (a) Carefully and clearly derive the least squares estimator for the slope B. (b) Clearly show that the estimator you just obtained in part (a) is unbiased. (c) Find the variance of the estimator you just obtained in part (a) for the case where p = 0.
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