Answer (B) is correct.
Time series analysis is a regression model in which the independent
variable is time. In time series analysis, the value of the next time period
is frequently dependent on the value of the time period before that.
Hence, the error terms are usually correlated or dependent on the prior
period; i.e., they are characterized by autocorrelation (serial correlation).