In measuring seasonal and random variation of a time series with no cyclical effect,we may use the:

Question

Quizplus · Accepted Answer

Both options A and B are valid methods for measuring seasonal and random variation in a time series with no cyclical effect. Dividing the time series by a moving average or predicted values can help to account for any unexpected highs or lows in the data set that may be caused by seasonality or randomness. Using both methods simultaneously can provide a more precise estimation of these effects. Alternatively, option C is not a valid method for measuring variation, as it only reflects the overall trend of the time series and not its seasonal or random patterns.

In Measuring Seasonal and Random Variation of a Time Series