The hypothesis test for autocorrelation in a time series is a two- tail test because we only test for the presence of positive autocorrelation.
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Q165: A _ component is present in
Q166: Autocorrelation describes the condition when residuals in
Q167: When testing for the presence of positive
Q168: _ are obtained by averaging the ratio-
Q169: When perfect negative autocorrelation is present in
Q171: In general, a four- period simple moving
Q172: To observe a seasonal component in a
Q173: Simple moving average is an example of
Q174: A _ component is present in
Q175: Simple linear regression describes a straight line
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