STAT 235 Final, Spring 2004
American University of Beirut · Applied Regression Analysis · 1 page
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ERICAN
LiIBKARY
OF VEIRUT
The American University of Beirut
STAT 235 FINAL EXAM
Time = 1 hour and 30 minutes
June 9, 2004
1. A regression analysis using an intercept and one independent variable
gave the following:
Y = 1.841246 + 0.10934.X, and
23) = [ 0.1240363 —0.002627 |
(9) = | _9 992627 0.000099
MSE = 1.6360
(a) Construct a 95% confidence interval estimate of £y.
(b) compute Y when X = 4 and its variance
2. (Simple linear regression through the origin) Let % = BX, + & with
the usual assumptions of a linear regression model.
(a) Show that f, = XVY/ 0X?
(b) Show that s? = [0 Y¥?—8, 0 X,¥]/(n—1) is an unbiased estimator
for a”.
. For a simple linear regression model with intercept, Y; = Bo + BX; +
¢; with the usual assumptions. One may parametrize the model by
considering the following model: Y, = a+ 3(X%;-X) +6:
i=] So \ ;
(a) Show that the least squares of B=8, anda=Y.
(b) Show that Cov(a, 8) = 0.
4. Consider the following two linear models:
where X and W are nx p matrices with linearly independent columns.
Suppose further that VW = X.8, where B isa pxp non-singular matrix.
(a) Show that G = BA.
(b) Show that both models give the same predicted vector ¥ and the
same residual vector €.