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One commonly used test in checking for the presence of autocorrelation 



1.	The presence of association between two variables does not necessarily imply causation for the following reason(s):
a.	the association between two variables may result simply from pure chance
b.	the association between two variables may be the result of the influence of a third common factor
c.	both variables may be the cause and the effect at the same time
d.	a and b
e.	a, b, and c


	

	2.	The estimated slope coefficient (b) of the regression equation (Ln Y = a + b Ln X) measures the ____ change in Y for a one ____ change in X.
a.	percentage, unit
b.	percentage, percent
c.	unit, unit
d.	unit, percent
e.	none of the above


	

	3.	The standard deviation of the error terms in an estimated regression equation is known as:
a.	coefficient of determination
b.	correlation coefficient
c.	Durbin-Watson statistic
d.	standard error of the estimate
e.	none of the above


	

	4.	In testing whether each individual independent variables (Xs) in a multiple regression equation is statistically significant in explaining the dependent variable (Y), one uses the:
a.	F-test
b.	Durbin-Watson test
c.	t-test
d.	z-test
e.	none of the above


	

	5.	One commonly used test in checking for the presence of autocorrelation when working with time series data is the ____.
a.	F-test
b.	Durbin-Watson test
c.	t-test
d.	z-test
e.	none of the above



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