Serial correlation is typically observed in:
A)Outliers.
B)Sparse data.
C)Time series data.
D)Cross sectional data.

Question

Quizplus · Accepted Answer

Serial correlation, also known as autocorrelation, refers to the correlation between observations of a variable over time. As a result, it is typically observed in time series data where the observations are ordered in time. Outliers and sparse data do not necessarily imply serial correlation, and cross-sectional data refers to observations at a single point in time, so serial correlation would not be relevant.

Serial Correlation Is Typically Observed In