________ is additional movements in the time series data that cannot be explained as a trend or seasonality. A drastic spike in revenue at the end of February due to a large customer order for a one-time event is an example of
A) A dependent variable
B) A time trend
C) Seasonality
D) Noise

Question

Quizplus · Accepted Answer

Noise in time series data refers to random variations or irregularities that cannot be attributed to trend or seasonality. The example given of a drastic spike in revenue due to a large, one-time customer order fits the definition of noise, as it is an unpredictable event that does not follow the usual pattern (trend or seasonality) of the data.

________ Is Additional Movements in the Time Series Data That