Correlations between first-order errors through time are defined as:
A)autocorrelation.
B)cross-correlation.
C)heteroscedasticity.
D)multicollinearity.

Question

Quizplus · Accepted Answer

Autocorrelation refers to the correlation between a variable and its past values. In this case, it refers to the correlation between first-order errors through time. Cross-correlation refers to the correlation between two different variables at different points in time. Heteroscedasticity refers to the unequal variances of errors in a regression model. Multicollinearity refers to the correlation between predictor variables in a regression model.

Correlations Between First-Order Errors Through Time Are Defined As