Autocorrelation describes the condition when residuals in a regression model are independent of one another.
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Q161: _ adjusts the previous forecast with a
Q162: A _ component is movement in
Q163: The farther out into the future that
Q164: When perfect positive autocorrelation is present in
Q165: A _ component is present in
Q167: When testing for the presence of positive
Q168: _ are obtained by averaging the ratio-
Q169: When perfect negative autocorrelation is present in
Q170: The hypothesis test for autocorrelation in a
Q171: In general, a four- period simple moving
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