The question is: If X2 and X3 are linearly correlated in the regression equation, we have an autocorrelation problem. Is this an accurate statement? Explain. My answer is: This is not an accurate statement. Autocorrelation problem implies that the past realizations of a single variable are correlated with current values of the same variable. If the two varialbes are (perfectly) correlated with each other, that is the problem of multi-collinearity. (please help me if my answer is correct or not)
The question is: If X2 and X3 are linearly correlated in the regression equation, we have an autocorrelation problem. Is this an accurate statement? Explain. My answer is: This is not an accurate statement. Autocorrelation problem implies that the past realizations of a single variable are correlated with current values of the same variable. If the two varialbes are (perfectly) correlated with each other, that is the problem of multi-collinearity. (please help me if my answer is correct or not)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:The question is:
If X2 and X3 are linearly correlated in
the regression equation, we have an
autocorrelation problem. Is this an
accurate statement? Explain.
My answer is:
This is not an accurate statement.
Autocorrelation problem implies that
the past realizations of a single
variable are correlated with current
values of the same variable. If the
two varialbes are (perfectly)
correlated with each other, that is
the problem of multi-collinearity.
(please help me if my answer is
correct or not)
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